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  • From machine learning to Python language skills: 6 tech skill sets that fetch maximum salary

    Technology is gradually taking over workplaces and that is one of the reasons why 'human workers' are becoming redundant.

    Source: BGR
    16353
  • Get started with machine learning using Python

    Machine learning is an in-demand skill to add to your resume. We walk through steps for wading into machine learning with the help of Python.

    Source: Opensource
    18477
  • Top 3 machine learning libraries for Python

    Learn about three of the most popular machine learning libraries for Python.

    Source: Opensource
    19512
  • Kickstart your coding career by mastering Python for £79

    Everyone wants to work from home or from a beach somewhere. If you're looking to make this happen with a career in coding, Python is an obvious choice. Today's AAPicks deal could be the ideal way in â?? The Complete Python Programming Bundle.

    Source: Androidauthority
    16140
  • 18 New Books for Data Scientists, Machine Learning, on R and Python Must Read!

    Understanding machine learning & data science is easy. There are numerous open courses which you can take up right now and get started. But, acquiring in-depth knowledge of a subject requires extra effort.

    Source: HOB Team
    30342
  • Learn How to Manipulate Big Data With The Data Science Certification Training Bundle

    To actually use any of that information, data scientists have become more and more vital to companies - to analyse and interpret the huge amounts of data and turn it all into something structured and useful.

    Source: ScienceAlert
    9882
  • Top 15 Python Libraries for Data Science in 2017

    Since all of the libraries are open sourced, we have added commits, contributors count and other metrics from Github, which could be served as a proxy metrics for library popularity.

    Source: Kdnuggets
    14205
  • Resources for getting started with Python and machine learning

    Advance from building a first program to building a neural network.

    Source: Opensource
    11187
  • 6 Interesting Things You Can Do with Python on Facebook Data

    Facebook has a huge amount of data that is available for you to explore, you can do many things with this data. I will be sharing my experience with you on how you can use the Facebook Graph API for analysis with Python.

    Source: KDnuggets
    14778
  • Top 5 Python IDEs For Data Science

    IDE stands for Integrated Development Environment. It's a coding tool which allows you to write, test and debug your code in an easier way, as they typically offer code completion or code insight by highlighting, resource management, debugging tools

    Source: Datacamp
    25566
  • Top Programming Languages 2017

    Coding languages go in and out of fashion as new languages emerge and established languages become obsolete. Software developers need to keep up with these trends to remain employable and capable of creating cutting-edge software.

    Source: Masterofcode
    20433
  • Get Started Learning Python for Data Science with "Unpacking NumPy and Pandas"

    Since February I have been working on a video course with Packt Publishing, and the course is now published.

    Source: NTguardian
    14769
  • Tutorial on Automated Machine Learning using MLBox

    What if I tell you there exists a library called MLBox , which does most of the heavy lifting in machine learning for you in minimal lines of code? From missing value imputation to feature engineering using state-of-the-art Entity Embeddings for categorical features, MLBox has it all.

    Source: Analytics Vidhya
    17766
  • Machine Learning Showdown: Python vs R

    Let's say you have an amazing idea for a machine learning app. It's going to be brilliant. It's going to revolutionize the world of finance, mobile advertising, or... some other world, but it's definitely going to revolutionize something. And gosh darn it, it's going to be the smartest, most learned app the world has ever seen.

    Source: Webhose
    19515
  • Learn these 3 languages now if you want to become a data scientist

    Demand for developers with data science skills continues to grow. Here's what you need to learn to break into a career in the field.

    Source: Techrepublic
    9456
  • Top 35 Demanded Courses to boost your career in 2018-20

    Really you want to upgrade your skills with the best Data Analytics, Development courses, to stand out in your industry? Now Big data, Data Science, Machine Learning, Deep Learning, Artificial Intelligence (AI), Analytics, Python, R, r-stats are the most trending and highly demanding subject in every sector for almost every industry.

    Source: HOB Team
    12069
  • What's the best programming language for artificial intelligence?

    Artificial intelligence is a growing field and one which can be written in various programming languages. However it remains difficult to identify which of the many languages should be used for the AI project you may be working on next. Here are some of the best languages for programming AI to help you decide.

    Source: Techworld
    34155
  • How to Become a Data Scientist Without a Certification and Degree

    In the tech industry, new skills and roles emerge faster than traditional education can keep up with. A recent example is the field of data science and the associated profession, Data Scientist.

    Source: Codementor
    53724
  • How I learned Natural Language Processing

    I am a CS undergrad, currently in the third year of my academic program. I have been interested in the core computer science discipline for a long time, and that is why I like pursuing this field.

    Source: Codementor
    12351
  • Python Machine Learning is what you need to build a recommendation system

    We have recommendation systems ever present today. Web giants like Google, Microsoft, Facebook user algorithms to search results that you would find most relevant, based on your previous searches and also similar data from other users. In fact, for that matter any platform that has a search bar collects search data in order to provide you with better search results.

    Source: HOB
    15762
  • Data science jobs make the big bucks, and these tools can help you get one

    We live in a world with unprecedented amounts of stats, facts, and figures, and it's slightly overwhelming. And in order to make that data useful, companies need to hire analysts who know how to sift through it and find meaningful patterns. According to GlassDoor, a typical data scientist earns about $120,000 per year, meaning this is the kind of career that can get you living that good life.

    Source: Mashable
    14103
  • 6 predictions for data science in 2018

    LinkedIn's 2017 U.S. Emerging Jobs Report-fittingly created with the power of data science-lists data science roles as one of the top emerging positions in the U.S. today, with 6.5X growth over the last five years.

    Source: Springborad
    11952
  • PyTorch tutorial: Get started with deep learning in Python

    Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library

    Source: Infoworld
    27669
  • 60+ Free Books on Big Data, Data Science, Data Mining, Machine Learning, Python, R, and more

    Here is a great collection of eBooks written on the topics of Data Science, Business Analytics, Data Mining, Big Data, Machine Learning, Algorithms, Data Science Tools, and Programming Languages for Data Science

    Source: Kdnugget
    55983
  • Will Python Replace Java?

    According to the IT programming trend, Java is currently more popular than other programming languages in terms of number of jobs, number of existing Java developers and overall usage statics in IT compared to Python.

    Source: Mytectra
    16779
  • Top 20 Hot Python AI and Machine Learning Open Source Projects

    We update the top AI and Machine Learning projects in Python. Tensorflow has moved to the first place with triple-digit growth in contributors. Scikit-learn dropped to 2nd place, but still has a very large base of contributors.

    Source: Kdnugget
    35307
  • 30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets

    Nothing takes the place of meaningful and substantive study, but these cheat sheets (that's really not a great term for them) are a handy reference in a pinch or for reinforcing particular ideas. All images link back to the cheat sheets in their original locations.

    Source: Kdnugget
    40710
  • 2018 Predictions for the Analytics & Data Science Hiring Market

    What do you think of this year's predictions? Do you see any new tools on the horizon, or do you believe data science popularity is due for a reckoning of sorts?

    Source: Kdnugget
    11637
  • 2018 Predictions for the Analytics & Data Science Hiring Market

    What do you think of this year's predictions? Do you see any new tools on the horizon, or do you believe data science popularity is due for a reckoning of sorts?

    Source: Kdnugget
    6000
  • 5 Fantastic Practical Natural Language Processing Resources

    This post presents 5 practical resources for getting a start in natural language processing, covering a wide array of topics and approaches.

    Source: Kdnugget
    42807
  • Ranking Popular Deep Learning Libraries for Data Science

    We rank 23 open-source deep learning libraries that are useful for Data Science. The ranking is based on equally weighing its three components: Github and Stack Overflow activity, as well as Google search results.

    Source: Kdnugget
    22230
  • Top 10 Must Read Books for Data Scientists on Python

    If you are looking to learn python than what could be a better source than taking help from books written by professionals? In order to help you with your search we have created a list of best book for python data science, so that you don't have to wait and based on your requirements you can start your learning process with best books to learn python:

    Source: Digital Vidya
    30900
  • 18 New Must Read Books for Data Scientists on R and Python

    Personally, I haven't learnt as much from videos & online tutorials as much I've learnt from books. Until this very moment, my tiny wooden shelf has enough books to keep me busy this winter.

    Source: AV
    21198
  • What is ML and how to learn with Python?

    All have probably heard the buzz, the age of Machine Learning has arrived.

    Source: HOB
    12381
  • Top Five Programming Languages to Learn & Understand in 2018

    Language doesn't mean that this is on 5th positon is bad or language is at 1st position is the best language. It's just the classification and giving them the number's. Have a look on top five programming languages as Python, JavaScript, Java, Swift, C#.

    Source: HOB
    15156
  • Most Used Data Science Tools and Technologies in 2017 and What to Expect for 2018

    The practice of data science requires the use of analytics tools, technologies and languages to help data professionals extract insights and value from data. A recent survey by Kaggle revealed that data professionals relied on Python, R and SQL more than other tools in 2017.

    Source: HOB
    23841
  • Skills Required To Become Data Scientists

    Leveraging the application of big data, whether it is to improve the process of product development, improve customer retention or work through the data to find new business possibilities organizations are more relying on the expertise of data scientists to sustain, grow and beat their competition. Consequently, as the market for data scientists increases, the system presents an exciting career path for students and existing professional.

    Source: HOB
    25308
  • Which Programming Language Do I Master?

    It all started when futuristic technologists started to code 'Assembly'. This allowed them to build programs which they now wanted to run at tremendous speeds.

    Source: HOB
    10692
  • Python : The best tool for Machine Learning

    Machine Learning is a term that covers quite a large field. It is an immense field to explore upon. It uses linear regression, logistic regression, classification, deep learning, support vector machines and neural networks. It is a branch of data science and is a very exciting field. One of its main applications is in artificial intelligence.

    Source: HOB
    11757
  • Web Scraping Using Python for Beginner's

    In the Big Data world, Web Scraping or Data Extraction services are the main and very first requisites for Big Data Analytics. Extracting data from the web has become very necessary for companies to survive in business.

    Source: HOB
    18117
  • Today I Built a Neural Network During My Lunch Break with Keras

    So yesterday someone told me you can build a (deep) neural network in 15 minutes in Keras. Of course, I didn't believe that at all. So the next day I set out to play with Keras on my own data.

    Source: HOB
    21930
  • Top Languages for Programming Big Data Analysis

    Python, Scala, R and Java are the major languages for big data, data mining and data science. They all have their own fame. These languages are easy to use and understand obviously they have their own pros as corns as wel

    Source: HOB
    6846
  • Top Languages for Programming Big Data Analysis

    Python, Scala, R and Java are the major languages for big data, data mining and data science. They all have their own fame. These languages are easy to use and understand obviously they have their own pros as corns as wel

    Source: HOB
    10950
  • A Feature Selection Tool for Machine Learning in Python

    Using the FeatureSelector for efficient machine learning workflows

    Source: HOB
    14967
  • Explore More About Data Science And Its Significant Importance

    Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. Data science is helpful for the employees to get understand about data and then make it in a proper way so that it can be communicated in a better way which is valuable for the companies.

    Source: HOB
    18333
  • List of Questions Asked in Data Science Interview

    Numbers don't lie data analytics is on rise soon it will be integrate part of all the organizations. Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. Data science helps an employee to understand data and then synthesize it in a proper way so that they can communicate in a better way which is beneficial for the companies

    Source: HOB
    13131
  • Differentiating between Data Science, Big Data and Data Analytics

    Data is everywhere. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. Data science and data analytics, people working in the tech field or other related industries probably hear these terms all the time, often interchangeably. However, although they may sound similar, the terms are often quite different and have differing implications for business. Knowing how to use the terms correctly can have a large impact on how a business is run, especially as the amount of available data grows and becomes a greater part of our everyday lives.

    Source: HOB
    27201
  • Machine Learning: Applications, Types and How Does it Work?

    Machine learning is changing the way we do things, and it has started becoming main-stream very quickly. While many factors have contributed to this increase in machine learning, one reason is that it is becoming easier for developers to apply it. And, that is through open source frameworks.

    Source: HOB
    15540
  • TensorFlow: One of the Most Popular Framework of Machine Learning

    Deep Learning is a subset of Machine Learning and it works on the structure and functions of a human brain. It learns from the data that is structured and uses complex algorithms to train a neural net. This is a learning mechanism. Deep learning is a neural network somewhat looks like this there is something known as an input layer and then there is an output layer and in between there are a bunch of hidden layers so typically it would be at least one hidden layer and anything more than one hidden layer is known as a deep neural network so any neural network with more than three layers altogether right based known as a deep neural.

    Source: HOB
    11217
  • How we can start career with Machine Learning

    Machine Learning is a subfield of computer science which gives computers the ability to learn without being explicitly programmed. It is concerned with construction of algorithms than can learn and make predictions from data.

    Source: HOB
    13215
  • Best way to start learning Robotics

    In the professional sphere, it's important to let go of the tools and traditions that no longer suit you. Every business leader knows that in order to stay relevant and profitable in their particular industry, it's important for their companies to adapt to changing practices, technologies and business models. With the unbelievable development in Artificial Intelligence (AI) that developers have created in recent years, companies are continuously on the chase for the latest, cutting-edge software that will help them to retain their role as a leader in their industry.

    Source: HOB
    42849
  • Skills Required For Data Scientist

    Leveraging the application of big data, whether it is to improve the process of product development, improve customer retention or work through the data to find new business possibilities organizations are more relying on the expertise of data scientists to sustain, grow and beat their competition. Consequently, as the market for data scientists increases, the system presents an exciting career path for students and existing professional.

    Source: HOB
    7728
  • Highest Demanding Job Roles in the Year 2018

    For all those who are searching for job, year 2018 is going to be the year where you can move further in the tech industry and here is the list of top 10 highest paying jobs.

    Source: HOB
    8517
  • 5 Quick and Easy Data Visualizations in Python with Code

    This post provides an overview of a small number of widely used data visualizations, and includes code in the form of functions to implement each in Python using Matplotlib.

    Source: HOB
    19971
  • What is Apache Spark and Why it is Popular among Data Scientists?

    Apache Spark is an open-source cluster computing framework for real-time processing. It has a thriving open-source community and is the most active Apache project at the moment. Spark provides an interface for programming entire clusters with implicit data parallelism and fault-tolerance.

    Source: HOB
    15063
  • Data Science: A Great Field To Get into It

    Data Science is on the rise, both from a company's perspective and from an employee's perspective. This makes data science a great field to get into at the moment.

    Source: HOB
    10650
  • How to Learn Mathematics for Machine Learning?

    Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.

    Source: HOB
    24555
  • Comparison of Top 6 Python NLP Libraries

    Today, we want to outline and compare the most popular and helpful natural language processing libraries, based on our experience.

    Source: HOB
    9747
  • Is Python Really More Popular Than R Language?

    Python and R are the two most popular programming languages used extensively by Data analysts and Data Scientists. Both the languages are free and open-source and were developed in the 1900s. However, following are some of the reasons which gives Python edge over R that makes it even more popular among the community.

    Source: HOB
    11112
  • Hadoop and Spark: Which one is better?

    As we know organizations from different domains are investing in big data analytics nowadays by analyzing large data sets to uncover all the hidden patterns unknown correlations, market trends, customer preferences and other useful business information. These analytical findings are helping organizations in more effective marketing, new revenue opportunities and better customer service and they're trying to get competitive advantages over rival organizations and other business benefits. An Apache Spark and Hadoop are the two of most prominent big data frameworks and people often comparing these two technologies.

    Source: HOB
    12669
  • Streamlining the Data Scientists Workflow

    Data Scientists are big data wranglers. They consider mass and messy data both structured and unstructured and use their formidable skills and organize them accordingly. They use or apply their analytics power to uncover hidden solutions to business challenges.

    Source: HOB
    15801
  • Setting up your AI Dev Environment in 5 Minutes

    Whether you're a novice data science enthusiast setting up TensorFlow for the first time, or a seasoned AI engineer working with terabytes of data, getting your libraries, packages, and frameworks installed is always a struggle.

    Source: HOB
    12303
  • Swiftapply - Automatically efficient pandas apply operations

    Using Swiftapply, easily apply any function to a pandas dataframe in the fastest available manner.

    Source: HOB
    11850
  • Why Data Visualization Tools are Required for IoT Data?

    IoT has already created the hype in the business world. Keeping security and occasional performance issues aside, IoT has already created more productive environments in the business by the year 2025, its direct economic impact on retail, manufacturing, healthcare and other important industries.

    Source: HOB
    7317
  • List of Best Open Source ML Libraries For Python

    Open source platform like Python play an important role in the Machine learning market. Python has a large collection of libraries. The simplicity of python has attracted many developers to build libraries for Machine learning.

    Source: HOB
    17928
  • Top Five Programming Languages To Learn in 2018

    Language doesn't mean that this is on 5th position is bad or language is at 1st position is the best language. It's just the classification and giving them the number's.

    Source: HOB
    9771
  • A "Data Science for Good" Machine Learning Project Walk-Through in Python: Part One

    Solving a complete machine learning problem for the societal benefit

    Source: HOB
    35103
  • A "Data Science for Good" Machine Learning Project Walk-Through in Python: Part Two

    Getting the most from our model, figuring out what it all means, and experimenting with new techniques

    Source: HOB
    13635
  • Why Automated Feature Engineering Will Change the Way You Do Machine Learning

    Automated feature engineering will save you time, build better predictive models, create meaningful features, and prevent data leakage.

    Source: HOB
    15231
  • Why Automated Feature Engineering Will Change the Way You Do Machine Learning

    Automated feature engineering will save you time, build better predictive models, create meaningful features, and prevent data leakage.

    Source: HOB
    8373
  • How to Setup a Data Science Environment on your Personal Computer? Let's Know How

    Learn about the various options you have to setup a data science environment with Python, R, Git, and Unix Shell on your local computer.

    Source: HOB
    19125
  • Data Science Takes on Public Education for Data Scientist

    I came across a challenge on Kaggle called PASSNYC: Data Science for Good. Nelson Mandela was right. Education is a powerful weapon as well as one of life's greatest gifts.

    Source: HOB
    9102
  • Top 5 Data Science Material for Data Science Beginners That Can be Downloaded Free

    The popularity of data science, big data jobs in India and globally has leapfrogged over the past five years or so. Its successful run in the industry can be attributed to better research, project implementations and the general growth in big data and data science. These developments have called out for techies trying to make a career in data science.

    Source: HOB
    33696
  • 60+ Free Books on Data Science, Big Data, Data Mining, Machine Learning that Everyone Should Read!

    Here is a great collection of eBooks written on the topics of Data Science, Business Analytics, Data Mining, Big Data, Machine Learning, Algorithms, Data Science Tools, and Programming Languages for Data Science.

    Source: HOB
    117006
  • Why Data Scientists Like Python Over Java?

    Most developers have dubbed Python as the Swiss Army Knife in the data science community. It is easy to understand the reason behind it.

    Source: HOB
    49326
  • Whom To Hire Data Scientist or Data Engineer for Data?

    Data Scientist is the very demanding role in every big organisation and they have power to unlock the hidden values in the data's. They are very good at data handling and manages data at a very huge scale.

    Source: HOB
    14739
  • How to strat writing code a production-level in Data Science?

    Ability to write a production-level code is one of the sought-after skills for a data scientist role- either posted explicitly or not. For a software engineer turned data scientist this may not sound like a challenging task as they might have already perfected their skill at developing production level codes and deployed into production several times.

    Source: HOB
    6531
  • How to start writing code a production-level in Data Science?

    Ability to write a production-level code is one of the sought-after skills for a data scientist role- either posted explicitly or not. For a software engineer turned data scientist this may not sound like a challenging task as they might have already perfected their skill at developing production level codes and deployed into production several times.

    Source: HOB
    11220
  • I Wanted to Learn Machine Learning and Data Science, But Where to Start?

    Advice for young professionals in the non-CS field who wants to learn and contribute to data science/machine learning. Curated from personal experience.

    Source: HOB
    63234
  • How to Create a Data Science Portfolio to Get Job as Data Scientist

    How do you get a job in data science? Knowing enough statistics, machine learning, programming, etc to be able to get a job is difficult. One thing I have found lately is quite a few people may have the required skills to get a job, but no portfolio.

    Source: HOB
    30108
  • Most Popular 20 Python Libraries For Data Science, Machine Learning, Deep Learning & More...

    Python continues to take leading positions in solving data science, Machine Learning, Deep Learning, Data Scraping tasks and challenges. Last year we made a blog post overviewing the Python's libraries that proved to be the most helpful at that moment.

    Source: HOB
    63444
  • What's The Best Programming Language to Learn for Software Engineer?

    Nowadays, there are so many programming languages available in the market, and if you are a beginner in computer programming, you may wonder which programming language is the best to choose and how to start learning it.

    Source: HOB
    102552
  • Collection of Best Data Science Platform, Data Scientists Must Aware Of Them!!

    Around Data Science Platforms all of its functionalities like data exploration and integration from several sources, coding, model building are executed. Data science platforms are programmed to train and test models and deploy the results to solve real-life business challenges.

    Source: HOB
    12711
  • Learning the Ecosystem, Not New Data Science Language?

    In the ever-changing ecosystem of data science tools, you often find yourself needing to learn a new language in order to keep up with.

    Source: HOB
    8901
  • 50+ Data Structure, Algorithms & Programming Languages Interview Questions for Programmers

    There are a lot of computer science graduates and programmers applying for programming, coding, and software development roles at startups like Uber and Netflix; big organizations like Amazon, Microsoft, and Google; and service-based companies like Infosys or Luxsoft, but many of them have no idea of what kind of programming interview questions to expect when you're applying for a job with these companies.

    Source: HOB
    282267
  • A Complete Machine Learning Project Guide in Python

    Reading through a data science book or taking a course, it can feel like you have the individual pieces, but don't quite know how to put them together. Taking the next step and solving a complete machine learning problem can be daunting

    Source: HOB
    67995
  • How to Run Parallel Data Analysis in Python using Dask Data frames

    Sometimes you open a big Dataset with Python's Pandas, try to get a few metrics, and the whole thing just freezes horribly. If you work on Big Data, you know if you're using Pandas, you can be waiting for up to a whole minute for a simple average of a Series, and let's not even get into calling apply.

    Source: HOB
    20733
  • 10 Useful Tools, Libraries to Learn Programming Language - Every Programmer Should Know

    Every trade has their tools and software development is no different. A good programmer knows his tools better than others and also have access to more powerful and advanced tools than an average programmer, but, there are certain tools which you expect every software developer should know and this list is all about such tools.

    Source: HOB
    73866
  • A Complete Machine Learning Guide in Python: Part 2

    Assembling all the machine learning pieces needed to solve a problem can be a daunting task. In this series of articles, we are walking through implementing a machine learning workflow using a real-world dataset to see how the individual techniques come together.

    Source: HOB
    44163
  • Understanding Easy Ways to Get Step Into Data Science

    Many companies want to use Data Science to advance their businesses. They recognize the need of data science as every organization prime goal is to stay competitive and make use of their data, but many of them are unsure of how to get started and don't even have a data scientist team.

    Source: HOB
    6438
  • Understanding Easy Ways to Get Step Into Data Science

    Many companies want to use Data Science to advance their businesses. They recognize the need of data science as every organization prime goal is to stay competitive and make use of their data, but many of them are unsure of how to get started and don't even have a data scientist team.

    Source: HOB
    8055
  • A Guide To Become A Machine Learning Engineer

    Machine Learning is the very popular technology and its demand is increasing day by day. Now all the organisations are looking for Machine Learning engineers and this is the highest paid profile in the industry. Here we take you through all the aspects of machine learning from simple linear regressions to the latest neural networks, and you will learn not only how to use them but also how to build them from scratch.

    Source: HOB
    16242
  • 200+ Best Machine Learning, Natural Language Process, and Python Tutorials for Programmers - 2018

    I have split this post into four sections: Machine Learning, Natural Language Process, Python, and Math. I have included a sampling of topics within each section, but given the vastness of the material, I can't possibly include every possible topic.

    Source: HOB
    57459
  • A Combination of Skill Set Makes A Perfect Machine Learning Engineer

    Machine Learning is the subset of Artificial Intelligence which allow systems to perform the specific tasks. Machine Learning and Data Mining work closely as both search through data to look for patterns basically it detects patterns in data and adjust program actions accordingly.

    Source: HOB
    7971
  • Top Videos And Tutorials To Get Started With Machine Learning And Artificial Intelligence at Beginner Level, Part-1

    Machine Learning and Artificial Intelligence are the two most trending technology everyone want to get learn and get started their career in these field. This field is not only in demand but also the highest paid profile. Here if you are at beginner level to learn machine learning and artificial intelligence follow these videos as you can gain more insights to start your career.

    Source: HOB
    14835
  • Get Start Your Career In Machine Learning & Artificial Intelligence At Advanced Level With Best Videos And Tutorials, Part-2

    In Part-1 we have covered how to get started with Machine Learning at beginner level. Here in Part-2 we learn machine learning at two other levels. Machine Learning and Artificial Intelligence are the two most trending technology everyone want to get learn and get started their career in these field. This field is not only in demand but also the highest paid profile.

    Source: HOB
    16545
  • 300+ Free Online Programming Language Courses To Learn & Get Highest Salary in 2018

    You can use Quick Code to discover more free programming language courses based on different technology and programming languages. Take these courses to learn programming, web development, front-end development, mobile application development, data science and start learning.

    Source: HOB
    23922
  • 3 Best Programming Languages For Internet of Things Development In 2018

    While Java is the most used language for IoT development, JS and Python are close on Java's heals for different subdomains of IoT development. The future of IoT development is likely to remain multi-lingual.

    Source: HOB
    43476
  • Gear Up Your Career in Deep Learning With These Popular Videos

    If we all see just few years back that Deep Learning is not much popular but now this is evolving and got equal importance to Machine Learning and Artificial Intelligence. And now deep Learning is used in many applications like Speech recognition, image recognition, finding patterns in a data set, object classification in photographs, character text generation, self-driving cars and many more.

    Source: HOB
    30831
  • Python Raising Most Popular Programming Languages In The World - List 2018

    According to the Tiobe Index for September 2018, Java, C, and Python are the most popular programming languages in the world.

    Source: HOB
    143667
  • What Programming Languages Are Mostly Preferred For Blockchain Coding?

    While Bitcoin and Cryptocurrency may have been the first widely known uses of Blockchain technology today, The blockchain is gaining popularity only because of its security feature. This is the safe and secure ledger which permits all users to record transactions on system so it will be safe, secure and incorruptible. For this they code in the following best programming languages.

    Source: HOB
    26253
  • An A-Z Of Useful Python Tricks To Learn Quickly

    Python is one of the world's most popular, in-demand programming languages. This is for many reasons:

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  • 10 Most Popular Mobile Apps for Data Scientist and Data Analysts

    A collection of useful mobile applications that will help enhance your Popular data science and analytic skills. These free apps can improve your listening abilities, logical skills, basic leadership qualities and more.

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    Mastering the little things in Python, NumPy, and Pandas for Data Science. here's the stuff that I'm always forgetting when working with Python, NumPy, and Pandas.

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  • How Hitchhiker's Guide Workes For Machine Learning in Python

    Machine learning is undoubtedly on the rise, slowly climbing into 'buzzword' territory. This is in large part due to misuse and a simple misunderstanding of the topics that come with the term.

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    32751
  • How Did I Scrape Websites with Python & BeautifulSoup

    We are going to use Python as our scraping language, together with a simple and powerful library, BeautifulSoup. What you need is not access to that information, but a scalable way to collect, organize, and analyze it.

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  • Want To Learn The World's Fast Mover Programming Language? 5 Reasons To Choose Python 3 Programming Language

    With the clock ticking for Python 2 programming language, the cloud storage company Dropbox has detailed why it chose to move to Python 3 programming language and how it made the switch.

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  • Get Hired WithThese Popular Tensor Flow And Machine Learning Courses

    Artificial Intelligence, Data Science, and Machine Learning all are very popular technologies in this technological world. All companies are leveraging these technologies and getting best out of it and Tensor Flow, Google's Machine Learning API, which are used to develop the Rank Brain algorithm for Google Search.

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  • Deeper You Go Deeper You Learn With These Popular Deep Learning Books

    Books are very useful resource for the learners and every learner always search for the best books to gain insights and here we have the collection of popular deep learning books which are recommended by experienced professionals to read.

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  • Tutorials The Helping Hand To Learn About Deep Learning With Python

    Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing patients better than armies of doctors and Google Deepmind's AlphaGo beat the World champion at Go, a game where intuition plays a key role. But the further AI advances, the more complex become the problems it needs to solve. And only Deep Learning can solve such complex problems and that's why it's at the heart of Artificial intelligence.

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  • What I Have Learned, Analyzing 80 Job Rejections With Python Language

    We've all gotten those emails at one point or another. You know, the ones that start with "Thank you for your interest" and end with shattered dreams and self-doubt. Okay, maybe that's a bit extreme. Nonetheless, getting job rejections can be difficult.

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  • Top 5 Most Popular Programming Languages to Learn for Cyber Security

    Becoming successful as a cybersecurity expert requires diverse skills programming language. An all-around professional can confidently implement and monitor security measures that guard computer systems against attacks and unauthorized access.

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    14847
  • How I Processed Textual Data Using TF-IDF in Python Language

    Computers are good with numbers, but not that much with textual data. One of the most widely used techniques to process textual data is TF-IDF in Python. In this article, we will learn how it works and what are its features.

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  • Accelerated Python an Even Bigger Boost with No Code Changes All Engineers Should Know

    Intel's support of Accelerated Python continues to make it the logical choice for any performance-sensitive Python users (plus it's free!). Intel's distribution is a tuned version of the open source Python we all normally use.

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  • Awesome Programming Languages For Blockchain Programmers

    Blockchain development has revolutionized various aspects of technology. It has a wide range of applications especially the ones that involve data storage and manipulation. Currently, blockchain is one of the most-sought technology. Everyone is looking to incorporate it into their products. Just like most technologies, the root of blockchain development is programming languages.

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  • Network Analysis to Get Insight Into An Academic Field With python Programming Language

    Every year, at the beginning of November, an increased excitement can be felt within the scientific world. It's time the year's Nobel Prize winners are announced.

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  • If You Are a Data Scientist Then You Should Have These Apps In Your Mobile

    A collection of useful mobile applications that will help enhance your vital data science and analytic skills. These free apps can improve your listening abilities, logical skills, basic leadership qualities and more. Data science and machine learning are evolving with their abilities to transform the world around you.

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  • 10 Most Popular Programming Languages in Demand: According to Facebook & GitHub For Programmers

    Thousands of programming languages exist, but there are some trusty ones that developers turn to again and again. GitHub, the startup at the center of open-source software development, tracks these programming trends.

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  • Web Scraping, Data Visualization, and Regular Expressions: Doing it all in Python

    A Small Real-World Project for Learning Three Invaluable Data Science Skills. As with most interesting projects, this one started with a simple question asked half-seriously: how much tuition do I pay for five

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  • Why Everyone Should Not Be A Data Science Generalist

    I work at a data science mentorship startup, and I've found there's a single piece of advice that I catch myself giving over and over again to aspiring mentees. And it's really not what I would have expected it to be.

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  • The Most Hottest & Colder Programming Languages In Banking Right Now

    The list of the most in-demand programming languages in banking isn't all that much of a surprise. Most every developer can rattle off the first three or four and may even get the order right. However, knowing which ones will be utilized the most in the future is a much more difficult task.

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  • Top 4 Best Programming Languages For Image Recognition

    Image recognition is one of the features that is deployed in most modern devices and programs. The feature has a wide range of applications, the most common one being in security systems. It enables devices to recognize the identity of a person or object just by its image. Face recognition is a product of image recognition.

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  • Why Machine Learning Industry Can Never Grow Without Open Source of Machine Learning Platform

    Google DeepMind made their machine learning platform, DeepMind Lab, publicly available. Despite warnings from experts like Professor Stephen Hawking, Google's decision to expose its software to other developers is part of a movement to further develop the capabilities of machine learning.

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    38049
  • Amazing Guide to Neural Networks and Deep Learning Algorithm in Python

    Deep Learning algorithm is one of the most powerful learning algorithms of the digital era. It has found a unique place in various industrial applications such as fraud detection in credit approval, automated bank loan approval, stock price prediction etc

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  • Ultimate Python Quickstart Guide For Data Science

    This quickstart tutorial will get you set up and coding in Python for data science.

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    51108
  • 5 Awesome Programming Languages For AI Systems Development

    Nowadays, one of the most promising topics is Programming Language and AI or Artificial Intelligence. AI is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using the rules to reach approximate or definite conclusions) and self-correction. Particular applications of AI include expert systems, speech recognition, and machine vision. Because of this, biggest research fields and giant tech company and even startups are working on it.

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    21669
  • Top 6 Reasons Why Python Is Suddenly Super Popular for Every Programmer

    Python is a general-purpose language - sometimes referred to as utilitarian - which is designed to be simple to read and write. The point that it's not a complex language is important.

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  • Data Scientists: The Real Hero Of The Tech World

    The data scientist role is fast becoming the most sought after career of the technology world. We asked top data scientist Jake Porway from The New York Times about how he got his job and his tips for success in the field.

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  • Data Scientists: The Real Hero Of The Tech World

    The data scientist role is fast becoming the most sought after career of the technology world. We asked top data scientist Jake Porway from The New York Times about how he got his job and his tips for success in the field.

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    5982
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    Data Scientists are leaving their jobs, And according to Financial Times it's correct that data scientists usually spend 1-2 hours a week to find good opportunities. We read so many stories about data science being the sexiest job of the 21st century and the attractive sums of money that you can make as a data scientist that it can seem like the absolute dream job.

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    11250
  • Top 5 Best Python Deep Learning Libraries

    Deep learning is an exciting subfield at the cutting edge of machine learning and artificial intelligence. Deep learning has led to major breakthroughs in exciting subjects just such computer vision, audio processing, and even self-driving cars. In this guide, we'll be reviewing the essential stack of Python deep learning libraries.

    Source: HOB
    24432
  • The Next Change in Data Science And Machine Learning With Automation

    We have listen and read many times that how automation will affect our future. It can be classified into one of two narratives. The first one is that it will definitely lead to a better future, as it always had since the industrial revolution. Of course, some people will lose their jobs, but as history shows, new jobs will be created. And not just new jobs, but better jobs.

    Source: HOB
    13839
  • 10 High Paying Technologies and Programming Language, Programmers Can Learn in 2018-2019

    You can choose one of the technologies or programming language from this list to learn in 2018 and can switch to a high paying job in 2018 or 2019.

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    149757
  • Job Market for Python Developers Having a 'Hockey Stick' Moment

    Perennially popular programming language Python may be a fan favorite, but can you make a living as a Python developer? More to the point, how is the job market holding up for one of the world's most popular languages? As it turns out, you can't go wrong with Python - and recently, things feel very right.

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    26943
  • Most Popular Machine Learning Algorithm For Your Regression Problem

    When approaching any type of Machine Learning (ML) problem there are many different algorithms to choose from. In machine learning, there's something called the "No Free Lunch" theorem which basically states that no one ML algorithm is best for all problems.

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    18525
  • Top 10 Programming languages To Learn in 2019 - (Kotlin, Go, Python, Rust, and More)

    Hello guys, 2018 is coming to end and 2019 is approaching. This is the time, most of us start making our goals e.g. physical goals, educational goals, and financial goals. As a programmer, one of our goals is to learn new technologies and programming languages, but which languages should you learn? Since learning a programming language requires both time and patience, you should learn a language which is worth the effort i.e. it can reward you a better job and career growth. In this article, I am going to share with you the top 10 programming languages for 2019 as per StackOverflow's 2018 survey.

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  • Top 3 Features Make Programming Languages Popular In World- According to Github

    GitHub has identified three features that make a programming language popular in 2018.

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  • Top 5 Reasons Why Switched From Python To Go

    Python is awesome! Especially Python 3 with async functionality. But really Go is not giving any chances to survive in enterprise world

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  • Should Clear With These Listed Points While Choosing Your Career As A "Data Science"

    Learning data science can be intimidating. Specially so, when you are just starting your journey. Which tool to learn R or Python? What techniques to focus on? How much statistics to learn? Do I need to learn coding? These are some of the many questions you need to answer as part of your journey.

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    34275
  • How To Choose Right Programming Language For Your Career

    If you ever want to be the center of controversy in a room packed with developers, declare that one programming language is better than another. Banners will be raised and battle cries will be heard from various fiefdoms pontificating:

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    112677
  • Top 10 Most Popular IoT Programming Languages in 2018-19

    There is no doubt that IoT is here to stay. According to a 2018 survey, about 46% of companies are delivering IoT solutions, while 29% plan to deliver an IoT solution in the next 18 months.

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    62985
  • Python Opens The Door For Computer Programming

    Guido van Rossum, a Dutch computer scientist, set himself a Christmas project. Irked by shortcomings in other programming languages, he wanted to build his own. His principles were simple. First, it should be easy to read. Rather than sprawling over line-endings and being broken up by a tangle of curly braces, each chunk would be surrounded with indented white space. Second, it should let users create their own packages of special-purpose coding modules, which could then be made available to others to form the basis of new programs. Third, he wanted a short, unique and slightly mysterious name. He therefore called it after Monty Python, a British comedy group.

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    79791
  • How DevOps Play Crucial Role For Data Science?

    DevOps involves infrastructure provisioning, configuration management, continuous integration and deployment, testing and monitoring. DevOps teams have been closely working with the development teams to manage the lifecycle of applications effectively.

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    23382
  • An Amazing Introduction to Power Analysis in Python

    Firstly, I introduce a bit of theory and then carry out an example of power analysis in Python. You can find the link to my repo at the end of the article.

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    11562
  • Know The Best Programming Languages To Trade In The Blockchain World!

    One of the most important things is to decide what are the best blockchain programming languages and which would be the most beneficial of them for blockchain development.

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    16491
  • Walk Alone With The Perfect Data Science Resume

    Breaking into the world of Data Science can be tricky, but writing a killer resume gives you a better chance of landing a job in this highly competitive field.

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  • Do You Really Want To Become A 'Data Scientist'?

    If yes, then the first step is to understand the basic terms and their usage of data science.

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  • 10 Most Popular Programming Languages to Learn in 2019 For Job Security & Future

    The most important skill to learn in today's world is to know how to write a computer program. Today, computers have entered in almost every industry. Be it the autopilot in an aircraft or digital speedometer in your bike, computers in various forms surround us. Computers are extremely useful for an organization to scale up well. Gone are the days of pen and paper. Today, in order to store and access your information, you absolutely need computers.

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    If you have doubt in your mind regarding the future of data science then definitely you are concerned the techniques and tools such as Python, Hadoop or SAS will become outdated or going ahead in a data science course will be beneficial for your career in the long-run or not.

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  • Top 10 Best Python Books For Beginners and Advanced Programmers To Learn Programming Language

    Python is a general-purpose interpreted programming language used for web development, machine learning, and complex data analysis. Python is a perfect language for beginners as it is easy to learn and understand.

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  • Top 6 Best Python Libraries For Cyber-Defenders, Python Engineers Must Know

    There is a dire need to constantly innovate to protect sensitive information. Here is a list of top Python libraries to dodge and detect cyber attacks

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    The field of data is concerned with mining the huge volume of data flowing into the organization's warehouses via effective and proper application of scientific and mathematical skills at the same time.

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  • How To Increase Instagram Followers With A Simple Python Bot

    Growing an audience is an expensive and painful task. And if you'd like to build an audience that's relevant to you, and shares common interests, that's even more difficult.

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    18699
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    What Is Python And Why Is It So Popular Now? Python has recently been doing quite the rounds. Well, no this ain't a new language and was developed long back in the year 1991. However, Python has become quite popular these days. This is an interpreted programming language which is being used worldwide to develop websites, algorithms and simplifying the process of automation.

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    As part of my quest to learn about AI, I set myself the goal of building a simple neural network in Python. To ensure I truly understand it, I had to build it from scratch without using a neural network library. Thanks to an excellent blog post by Andrew Trask I achieved my goal. Here it is in just 9 lines of code

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    Data science is basically the application of a combination of mathematical, statistical, analytical and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is.

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  • 10 Amazing Courses For Learning Top Programming Languages

    Computer programming is one of the most demanding areas in the tech world. It gives you the power to build software and systems that can solve a lot of real-world problems.

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    Recently, Computer Vision is evolving and has climbed into its own federation. Already there is multiple numbers of applications which are widely used and starting with a new is a big progress again. Ideas are being embraced through the concept of open source which is leading benefit for upcoming generations. There are thousands of people having new innovations and techniques which they wanted to share as it do not remain of any use. Face detection technology which upcoming offers you with the excess number of applications in real-world. Using the open source tool, how can you build a proficient face detection algorithm?

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  • Why Developers Should Learn 10 Popular Programming Languages in 2019

    Java dominates the top coding languages, but Visual Basic .NET has made a comeback, according to the TIOBE index.

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    86334
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    We report on the most popular IDE and Editors, based on our poll. Jupyter is the favorite across all regions and employment types, but there is competition for no. 2 and no. 3 spots.

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    7044
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    As 2018 comes to a close, it's worth taking some time to look back on the major events that occurred this year in the big data, data science, and AI space. Data security continued to be a major topic in 2018, particularly as the rash of big data breaches continued.

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    Big data is getting more and more important in this generation, giving away to big business. Data is easily be stored, analyzed and collected through the big data process. There is a rapid growth in this industry, so the job for big data is also increasing with huge coverage. Either it's a small industry or a huge one, there is a need for a specialist in big data.

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    There are hundreds of courses available on the internet that you can buy to learn any programming language. But, it's not possible for everyone to pay for online courses because of several reasons.

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    Learn how to code the classic game Tetris using Python and Pygame. This full tutorial is meant for intermediate programmers with some experience, but everyone is welcome to follow along.

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    It takes time in learning new skills. So before you start learning something you need to have a thorough knowledge that it would be worth or not. When you decide a particular programming language it is necessary to take an appropriate decision. So here are some views about which programming language you should learn in 2019? The new beginning will help to reflect learning which would be leading in the upcoming year.

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  • Know How Deep Learning Gives Base To Robots?

    The majority of artificial intelligence (AI) research to date has been focused on the vision. Thanks to machine learning, and in particular deep learning, we now have robots and devices that have a pretty good visual understanding of their environment.

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    Q&A sites and data science forums are buzzing with the same questions over and over again: I'm new in data science, what language should I learn? What's the best programming language for machine learning?

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  • Why We Need to Forget 'For-Loop' for Data Science Code And Embrace Vectorization

    Data science needs fast computation and transformation of data. NumPy objects in Python provides that advantage over regular programming constructs like for-loop. How to demonstrate it in a few easy lines of code?

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  • Learn Python Programming Language in 15 Minutes Part-3

    The most common perspective in Python is that it handles all errors with exceptions. An exception is a signal that an error or other unusual condition has occurred.

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    54465
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    It is actually a very reasonable question. After all, what's the point of investing a lot of time and effort in learning a new programming language, if it turns out you're never going to use it?

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  • An Easy Guide to Figuring Out Which Programming Language to Learn in 2019

    So you've decided to learn a programming language. Good thinking! The need to be code literate for various jobs is increasing. Software developer jobs specifically will increase by 17% according to The Bureau of Labor Statistics.

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    I am an Android Engineer, and this is my experience working on ML projects with our data scientist.

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  • Do You know? Which Programming Language Skills Employers Want?

    Java Programming Language Tops Indeed's latest list; Python, JavaScript rank high

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    15207
  • These Top Programming Languages Will Change Your Career in 2019

    Learning new skills takes time, that's why, before learning one thing, you wish to understand that what you're learning goes to be worthy. This can be notably true once deciding that artificial language to be told. As we tend to approach the year, it's an honest time to replicate on our prime learning priorities for 2019. Want to learn a new programming language?

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  • Learn Python Programming in 15 Minutes Part-2 in 2018

    Control Flow, Functions, Object Orientation. The for loop in Python has the ability to iterate over items of any sequence such as list or string.

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    35082
  • 2019 consideration: Core in machine learning (JavaScript)

    Machine learning is developing with a huge growth these days. There are multiple open source tools available which make the application easily. Most of the frameworks of machine learning are fed by a Python programming language, JavaScript is also not lagged behind.

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    17790
  • The Way How Deep Learning Is Influencing Robotics?

    In the course of recent years, users have doubtless seen quantum jumps within the quality of a good scope of normal innovations. Most clearly, the speech recognition functions on our cell phones work far better to something they want to. After we utilize a voice direction to decision our mates, we have a tendency to contact them currently.

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    15525
  • Top 5 programming Language Resolutions That Every programmer Should Make

    We know you are welcoming 2019 armed with resolutions. It has always been and will continue to be important for us programmers, to stay updated, challenge ourselves, and improve our skills. Don't give into stagnation and demotivation!

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  • 50+ Best Places to Learn Programming Language & Coding For Absolutely Free

    If you're brand new to the world of programming language coding and web development, it makes sense to start by teaching yourself using all the free programming language coding resources online.

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    43902
  • Which One Should I Learn As A Beginner: Python 2 Or Python 3?

    In the past, there was a bit of a debate in the coding community about which Python version was the best one to learn: Python 2 vs Python 3 (or, specifically, Python 2.7 vs 3.5).

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    39279
  • Which Programming Language Is Most Popular For Big Data?

    Nothing is quite so personal for programmers as what language they use. Why a data scientist, engineer, or application developer picks one over the other has as much to do with personal preference and their employers' IT culture as it does the qualities and characteristics of the language itself. But when it comes to big data, there are some definite patterns that emerge.

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    31248
  • Best Fitted Programming Languages For Web Development

    There's most hype concerning frontend technologies like Vue.js, AngularJS, ReactJS within the web development domain, it gets straightforward to ignore the backend. Normally, users are additional doubtless to note what is served before their eyes and not observe of what goes behind the scenes. Backend web development involves the part of coding that isn't seen by the user. Most often, backend web developers are liable for the code behind juggling data to and from the frontend.

    Source: HOB
    21606
  • Most Popular Programming Languages For Backend Webapp Development

    There's so much hype about frontend technologies like Vue.js, AngularJS, ReactJS in the web development domain, it gets easy to ignore the backend.

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  • 5 Most Popular Programming Languages For Machine Learning

    The increasing demand for experts in machine learning during the last few years has increased curiosity to know the programming languages which one can use in machine learning.

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    60831
  • Learn Natural Language Processing With These Free Online Courses

    Natural Language Processing is the ability of a computer program to get understand the human language and it is the component of artificial intelligence. Now it is very important to learn this concept and following are the courses through which we can gain insights and learn this concept thoroughly.

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    27525
  • Guide for becoming a data engineer

    The rates of unemployment are at a lower phase and the economy is booming. There are many companies who are facing the shortage of data engineers and wanted some professionals with high skills. It is really difficult to get skills for both data scientist and data engineer in the same file while taking the step towards it is the personal choice which profiles you want your career to be in.

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    11199
  • For becoming a successful R programmer, Read this article

    This programming language R is developed in 1993 and was R was conceived by professors Auckland University Ross Ihaka and Robert Gentleman. R language has methods of statistics and graphics. And these methods also comprises of the machine learning algorithm, time series, linear regression, interferences of statistical and many more.

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    32280
  • Top 10 Data Science Tools & Resource I Explored in 2018

    In 2018, I invested a good amount of time in learning and writing about data science methods and technologies.

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    7422
  • Learn The Ecosystem, Not The Language For Data Science

    In the ever-changing ecosystem of data science tools, you often find yourself needing to learn a new language in order to keep up with the newest methods or to more effectively collaborate with coworkers.

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    14307
  • Data Scientists Should Read These Books In 2K19

    All professionals I'm sure looking ahead to a new start and want to increase their data analysis skills. So here is the collection of books through which data scientist can sharpen up their knowledge and skills.

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  • Access knowledge for free: EBooks on Hadoop, deep Learning and DataViz

    Some Ebooks which will give enhance your knowledge for free in deep learning, Hadoop and DataViz. Here you have some links to get these free EBooks.

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  • Become a Pro with some Machine Learning and Deep Learning Courses

    Willing to master in machine learning and deep learning? So make a career in the recent and most demanding subject today. The future will be in your own palms.

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  • Top 20 Most Popular Programming Languages To Learn in 2019

    Which languages are catching the eye of new devs, and which are failing to grab their attention? There's fresh evidence that Python is attracting new learners faster than any other programming language.

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    63966
  • Most Popular 5 Programming Languages For Job-Seeker Programmers in 2019

    With more than a hundred programming languages in use today, only a few of them can change the trajectory of your career.

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    12828
  • How To Build Great Looking Data Visualization in Python

    How to make great-looking, fully-interactive plots with a single line of Python. The sunk-cost fallacy is one of many harmful cognitive biases to which humans fall prey.

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    15432
  • Tools Used In Java World, Java Developers Must Aware With These Tools

    There are numerous tools that exist within the Java world, ranging from a renowned day like Eclipse, NetBeans, and IntelliJ plan to JVM identification and observation tools like JConsole, VisualVM, Eclipse Memory instrument, etc. This article comprises of general tools, that are applicable to each reasonably Java developer, e.g. each core Java and net developers.

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    11664
  • Which One Programming Language Is Better For Data Science Python or R?

    As requested, I'm publishing this guide for those wishing to choose between Python and R Programming languages for Data Science. You may be new to Data Science or you need to pick one choice on a project, this guide will help you.

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    96186
  • Data Engineer A Perfect Combination Of Data Analyst And Data Scientist

    Data engineer may be a comparatively new position that is a hybrid of types between a data analyst and a data scientist. Whereas information scientists are reception making and standardization refined machine learning models and alternative kinds of analysis, data engineers shine at manipulating huge amounts of data and guaranteeing the complete huge data code stack will scale to support large workloads.

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  • Avoid Mathematics: Learn Data Science and Machine Learning

    Today, the most desirable career option seems to be a data scientist and machine learning, as every individual either it is a college-going student or a professional is looking to switch their career onto data science.

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  • List Of Top 5 Programming Skills Which Makes The Programmer Different From Others?

    Businesses need to learn these languages today, and employees can find great jobs by becoming fluent in them. If you want to survive in this automated, globalized economy, you should understand programming, and there are no shortage of coding schools and websites where you can learn. But software development is a constantly changing field, and languages high in demand a decade or even five years ago can fall into irrelevance.

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  • Julia Programming Language is Fastest Growing Than Others, Stat Charts Rapid Rise in 2018-19

    Up-and-coming language Julia programming language is gaining momentum with programmers, according to its creators.

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    Source: HOB
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  • Master Deep Learning in 6 Weeks

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  • Having a problem in learning your first Programming Language?

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    Your Ph.D. degree is a good opportunity for introspection and equally, your past experience or failures also gives you a good lesson that how you can improve. Learnings involve our all discoveries, mistakes, skills, and projects to make our future bright. We should not regard our past as an immature period but as an unfolding story.

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  • Top 10 Free Websites To Learn All Programming Language

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  • Pick the best Programming Language for becoming a Freelance developer

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    In a 2017 business research article IBM predicted that the need for Data Scientists will increase by 28% by 2020, with nearly 3 million job openings for Data Science professionals.

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    Julia Computing, an organization set up by the programming languages creators, has spelled out how it plans to use that success to propel Julia into the enterprise and larger organizations.

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    The number of job postings seeking software developers, Programming Language Programmers in January 2019 rose 59% year-on-year to 79,900.

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  • Do You Want To Learn Coding Language? This Startup Pays You Salary In Cryptocurrency To Learn Python

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    The 10 programming languages associated with the highest-paying jobs all earned developers an average salary above $100,000.

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    There is too much explosion in the generation of the data in every major industry all around the world, and the demand of skilled workers if very much as they need professional workers to handle that huge data for solving certain problems and this profession has an unpredictable growth in recent times.

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    I am new in data science, what language should I learn? What's the best programming language for machine learning?

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    6840
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    Neural networks have seen spectacular progress during the last few years and they are now the state of the art in image recognition and automated translation.

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    9423
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    Programmers should be aware of the top programming languages that they should learn.

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    6801
  • Books which will be highlighting the Algorithms of Machine Learning

    The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines.

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    When you start learning coding and web development, the number of different programming languages can easily feel daunting and overwhelming. In this post, you'll learn about different programming languages and their uses to help you find the right programming language to learn.

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    A data scientist is integral to an AI or ML process, in the sense that all of these projects are depending on big data or complex inputs. The data scientist is the essential careerist who knows how to work with data to produce results.

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    5097
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    8631
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    5781
  • A basic guide to Machine Learning

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    6027
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    5493
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    6723
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    5490
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    Launch Your Career in Data Science. A ten-course introduction to data science developed and taught by leading professors.

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