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
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Let's admit it: you probably aren't reading that romance novel for the plot. Or its literary value. Audible knows this, and is today launching a new collection of romance-themed audiobooks that come with a handy feature that lets you skip right to the action. Called "Take Me To The Good Part," the feature will fast-forward you to the steamy sections of the audiobook, says Audible.
Source: Tech Crunch16155
Machine Learning has granted incredible power to humans. The power to run tasks in automated manner, the power to make our lives comfrotable, the power to improve things continuously by studying decisions at large sacle . And the power to create species who think better than humans.
Source: Analytics Vidhya13614
Artificial intelligence has been the catchphrase in recent times, but did you know that it has been written about for years now? These books will help you get started on understanding the concept's past and future relevance.
Source: Yourstory18525
It's as good a time as any to keep yourself updated - especially for those who are in the ever-changing technology field. If you're interested in, or working as a professional in Data Science, Machine Learning and allied fields, we've compiled a list of top 11 books that are available free that you must catch up on gloomy rainy days.
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Top machine learning writers on Quora give their advice on learning machine learning, including specific resources, quotes, and personal insights, along with some extra nuggets of information.
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Are you searching for some best books to get acquainted with the basics of AI? Here is our list!
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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 Vidya27603
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.
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Block chain is cryptocurrency based technology that facilitates transfer of ownership of assets and record all the transaction on distributed ledger account accessible to all the participants. We have heard many things about block chain technology since 2017.
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This curated list of mindset-changing books will help you become a better Data Scientist
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Machine learning is an application of artificial intelligence that gives a system an ability to automatically learn and improve from experiences without being explicitly programmed. In this article, we have listed some of the best free machine learning books that you should consider going through (no order in particular).
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Data Science is very hot and demanding field which contains methods and techniques from the other fields like statistics, machine learning, artificial intelligence, Bayesian and many more other fields. The main purpose of these fields is to generate meaningful insights from the collected data.
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Today every person is talking about the new business ideas and wants to start thier own dream company. But in Data Science this is little bit different and the success in this filed is mainly driven by knowledge on the particular subject. So for this practice every data scientists should read books and gain the insights.
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Book recommendations by artificial intelligence and machine learning experts. We created a list of artificial intelligence and machine learning experts from different companies, startups, and universities -and scanned their Twitter profiles for book recommendations.
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There are lot of online free resources available from where we can get insights and use that knowledge in our daily routine. But here is the collection of good Big Data books that matches in-depth and comprehensive detail for the readers and these books are selected on following parameters like relevancy, popularity, ratings, publish date and ability to add value to businesses.
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To learn Machine learning is now evolving and everybody want to start their career in this hot topic. The Machine Learning adventure is quite interesting and highest paid job recently so if you are a begineer you can plan and start your career with the very ground level in Machine Learning.
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To learn Machine learning is now evolving and everybody want to start their career in this hot topic. The Machine Learning adventure is quite interesting and highest paid job recently so if you are a begineer you can plan and start your career with the very ground level in Machine Learning.
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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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Harvard Business Review has regarded data scientist as the sexiest job of the 21st century. One of the best free web data scraping tool, we aggregated the resources and tools that you may need to become a data scientist.
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I am a big fan of JavaScript books and programming language. Being a long-time learner of JavaScript, I've had the pleasure of reading a great many of the popular JavaScript books on the market. These days I tend to skip the ones targeted to rank newbies, but I still read a lot of books intended for JavaScript developers with a little experience.
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Artificial Intelligence is not elementary school math, and it's not rocket science either. As business decision-makers, the understanding of AI will not only allow you to make current product, service and processes better but also unleash new ideas for the future of the company.
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Machine Learning has granted incredible power to humans. The power to run tasks in an automated manner, the power to make our lives comfortable, the power to improve things continuously by studying decisions at a large scale, and the power to create species who think better than humans. This list can go on and on.
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Programming Language Coding is one of the most important skills for programmers and if you want to survive as a programmer you must improve your coding skill.
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Statistics is difficult. Of course it is, as mostly that's the actual science part in Data Science. But it doesn't mean that you couldn't learn it by yourself if you are smart and determined enough. These books are really good for setting your mind to think more numerical, mathematical and statistical. They also present why statistics is exciting really well.
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The massive upsurge in the availability of data in last few years have fueled this passion for breakthrough innovation. The idea of making human life faster and comfortable is the essence of discovering "Internet of Things".
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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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The Data Science candidates hold a strong background in statistics and mathematics is the only criteria of being getting selected at Google. Not just Google, other top companies (Amazon, Airbnb, Uber etc) in the world also prefer candidates with strong fundamentals rather than mere know-how in data science. If you are also interested to work with top brands than it is essential to develop your mathematical understanding of data science.
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According to Q&A hub Stack Overflow, Python is currently the fastest-growing programming language-and is on track to pull away from the rest of the pack in 2019.
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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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Get started with python popular language or buff up on your coding skills with this curated book list.
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As a computer science student, you don't need to totally rely on the knowledge that you just get from the room. You must focus on the far side that. On condition that computing may be a terribly wide field, the information from the room is definitely not enough. You must try to browse the most effective computing books.
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For Artificial Intelligence, What do you mean by Ethics? Well, that is a good starting point because there are different sorts of questions that are being asked in the books I am looking at. One of the kinds of questions was asking is: what sorts of ethical issues is artificial intelligence, Artificial Intelligence, going to bring? AI encompasses so many different applications that it could raise a really wide variety of different questions.
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Get a complete insight into the worldwide Stationery and Cards Market in our Global Stationery and Cards Market Report. Starting from Monetary Contribution, Impact on the Economy, Types of Product/service, Key players and many more.
Source: MARKET RESEARCH EXPLORE1959
So, If you are a programmer and you are looking for quality programming language books to read, we list down 10 free ebooks for programmers of all levels for you to choose from. You can also check our list of Best websites to Learn Programming online.
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Beginners at the start should strive to read these books as they will dive deep into artificial intelligence. Here is a shortlist that reflects our collective recommendations, here you can find which is the best book for you very easily as it is highlighted.
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For coding, there have always been books which are available around. Books are given less importance if we see in terms of online coding training, but it has a more positive impact on learning and is more effective. In books, we even have a variety of choices.
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If you're a beginner or experienced as a Data Scientist then you must aware of these data science books. Books are the best source to get insights and increase our knowledge.
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If you want to grab advanced knowledge of cloud computing, these are the books which will give you a detailed picture of cloud computing. These books are the hub of your gaining knowledge.
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As time flies, now big tycoons are more focused on data. That's the reason many of the people building businesses today are putting analytics and data science at the center of their strategy and operations.
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Machine Learning: An Algorithmic Perspective (Chapman & Hall/CRC Machine Learning & Pattern Recognition) Paperback Import, 8 Apr 2009
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Ethical hacking is one of the highest demanding jobs in computer science. It's not a job that anyone can do easily.
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In early 90s kids use to play games like Chuckie Egg and the famous Grannys garden on the BBC micro which was the latest and the first computer to which we were introduced, but ultimately the excitement was getting the computer performing multiple tasks in the basic programming language.
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Artificial Intelligence is rapidly changing the way we live and do business, which leaves many business leaders feeling like they're struggling to keep pace with developments.
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We as new generation people are full of advanced technology like Robots, intelligence spaceships, computer programs, artificial intelligence, and many living creatures.
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Online we can see multiple resources available and they are really beneficial in various terms but books are never old, books are the hub of knowledge.
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Almost all websites recommend an array of books and the readers are left confused deciding which book is best to buy.
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Learning how to code is not only sufficient but you should be aware of the skills which you will be needing while succeeding in life with coding.
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So here you can have an in-depth knowledge of cloud computing from certain books.
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There have been many NLP books written over the years discussing the history of NeuroLinguistic Programming, its basic skills, its advanced techniques and the people who have contributed to the field.
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Books highlighting you with some machine learning content for fresher graduates as well as professionals.
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These Books has been thoroughly revised and updated to stay current with advances in programming languages.
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Some common books every beginner should buy and increase their learning abilities.
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Some books to master programming languages and become a good programmer.
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Are you thinking that from where would you learn Python Programming Language? So here are multiple resources to go through.
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The technology of artificial intelligence is getting popularity and many of the professionals want to start their career in this field. Following are the collection of few artificial intelligence books through which you can gain insights.
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Some books, courses, and tutorials of machine learning for beginners which can help them to begin their journey with in-depth knowledge.
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Python Programming language should be on the tips for beginners and professionals.
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For a beginner, opt for a trainer. NLP is a skill and an application based program. These books can help you with the best training.
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Data Science books which will benefit beginners, professionals and business people also. You can easily avail these books on Amazon at a Discounted price.
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Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems.
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Whether you just want to stay informed in the data craze or you're looking to kickstart your data science or data literacy journey, this article features a list of books.
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Here are some books for learning some famous programming languages like Java, C++, C and many more.
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Deep learning in recent years has become a popular field of study by tech enthusiasts and researchers. The applications of deep learning in Self-driving cars, Automatic text generation, automatic handwritten generation, colorization, advertising and in many other fields have accounted for its popularity within the machine learning community.
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Here are some machine learning books which will give teach you an in-depth analysis of machine learning algorithms.
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If you are a novice and keen to learn about IoT and several of its applications that it can provide to the business and the society than you do not have to worry for the resources to learn from because books that are mentioned in the present article are best to learn from.
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For an aspirant its always hard to choose the best online course. To help on that part, the present article describes the best online courses to Learn IoT.
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Technologies such as Hadoop, MapReduce, Apache Spark have brought a revolution in the ways of analyzing big data. This is probably the best time to make your career in Big Data. I believe, nothing beat books when it comes to learning a concept to its core.
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Learning Cloud Computing is easy when taken the help from the best resources. Books are always the best resources to consider for that. The present article discusses the top level books that every aspirant in cloud computing should refer to.
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Deep Learning is a part or subfield of Machine Learning which uses artificial neural networks to enable machines to learn and perform complex tasks without any human intervention.
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Often we commit the silly mistakes in Data Visualization which lead to wrong interpretation of the data, but with good practices and good techniques effective visualizations could be created in a lesser amount of time.
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Deep Learning has become the most debated topic of the 21st century. A lot of students and professionals are really interested in learning Deep Learning.
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API development is becoming increasingly common for server-side developers thanks to the rise of front-end JavaScript frameworks, iPhone applications, and API-centric architectures.
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There are a number of online resources that have emerged today to teach learners the various concepts and things related to Data Science that it is a bit confusing to get started with any.
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Handling Big Data is the major priority of businesses today. In this article, we will go through 5 such amazing books to handle big data.
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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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Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work.
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Over the coming decades, Artificial Intelligence will profoundly impact the way we live, work, wage war, play, seek a mate, educate our young, and care for our elderly.
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Machine learning and artificial intelligence are growing fields and growing topics of study. While the advanced implementations of machine learning we hear about in the news might sound scary and inaccessible, the core concepts are actually pretty easy to grasp. Here is the list of the most popular resources for machine learning beginners. Some of these books will require familiarity with some coding languages and math, but we'll be sure to mention it when that's the case.
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Here are some of the resources where you can have in-depth analysis and learning of data science through some famous articles.
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Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person.
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Here are some books which will help you to boost your knowledge of data science and some of its fundamental tools.
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It's easy to start coding with Python, which is why the language is so popular. However, Python's unique strengths, charms, and expressiveness can be hard to grasp, and there are hidden pitfalls that can easily trip you up.
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F# (F Sharp) is a mature, cross-platform programming language. The language empowers users and organizations to tackle complex computing problems. F# is used for developing mainstream commercial business software and runs on Microsoft .NET.
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Chatbots let your users interact with your service in their own natural language. Use free and open-source tools along with Ruby to build creative, useful, and unexpected interactions for users.
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Java is the platform-independent, object-oriented programming language used for developing web and mobile applications.
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Build a strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide.
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Just as natural pearls grow from grains of sand that irritate oysters, programming pearls have grown from real problems that have irritated real programmers. Some books to enhance your career in Programming.
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Get valuable hands-on experience with Swift, the open-source programming language developed by Apple with these practical guide.
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A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data.
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Neuro-Linguistic Programming can help people become more motivated, improve confidence, boost performance, increase creativity and communication skills to name just a few of the benefits.
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Data Scientist should have hands-on these data science books which will enhance their in-depth knowledge.
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A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.
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Here are some videos which will give you a glimpse of some attractive Videos of Machine Learning.
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Data visualization has become big business, because communication is the difference between success and failure, no matter how clever the analysis may have been.
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Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guide.
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Build neural network models in text, vision and advanced analytics using PyTorch.
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Machine learning is one of the fastest-growing areas of computer science, with far-reaching applications.
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Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems.
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Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing.
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Artificial Intelligence (AI) is an emerging discipline of computer science. It deals with the concepts and methodologies required by the computer to perform an intelligent activity.
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Neural networks are at the core of recent AI advances, providing some of the best resolutions to many real-world problems, including image recognition, medical diagnosis, text analysis, and more.
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An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.
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Discover how data science can help you gain in-depth insight into your business the easy way. Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles.
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You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks.
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Data science strategy for Dummies begins by explaining what exactly data science is and why it's important.
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Machine learning is one of the fastest-growing areas of computer science, with far-reaching applications.
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The term Artificial Intelligence has been around since the 1950s, but a lot has changed since then.
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Build a strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide
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Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data.
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To really learn data science, you should not only master the tools-data Science libraries, frameworks, modules, and toolkits-but also understand the ideas and principles underlying them.
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If you're an experienced programmer interested in crunching data, this book will get you started with machine learning-a toolkit of algorithms that enables computers to train themselves to automate useful tasks.
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Java is everywhere, runs on almost any computer, and is the engine that drives the coolest applications.
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The focus this time is on graph algorithms, which are increasingly critical for a wide range of applications, such as network connectivity, circuit design, scheduling, transaction processing, and resource allocation.
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Python Essential Reference is the definitive reference guide to the Python programming language - the one authoritative handbook that reliably untangles and explains both the core Python language and the most essential parts of the Python library.
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Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell
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C++ is one of the most widely used languages for real-world software. In the hands of a knowledgeable programmer, C++ can produce small, efficient, and readable code that any programmer would be proud of.
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Build a strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide.
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Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms.
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Are you worried that AI will steal your job? Do you fear you'll get left behind in the data-driven marketplace? Are you concerned about AI disrupting your life?
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Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data.
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Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems.
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Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data
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Primarily intended for the undergraduate and postgraduate students of computer science and engineering, this text bridges the gaps in knowledge of the seemingly difficult areas of artificial intelligence and machine learning.
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It is created with the intention of facilitating the computer programmer's work, especially those who specify the specific actions that a computer has to perform and this is achieved by the writing of different source codes.
Source: HOB627
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