• News
  • Jobs
  • Register/login
  • Log Out
  • News
  • Jobs
Register/Login
Log Out
  • Latest News
  • Startup
  • Funding
  • Artificial Intelligence
  • Can Doctors Be Data Scientists?

    Wolfram Research, Inc., creator of Mathematica, Wolfram|Alpha and the Wolfram Language, announces the integration of Wolfram technology with SolveBio, the operating system for precision medicine that enables biotech and pharmaceutical companies to leverage molecular information for therapeutic development.

    Source: PR Newswire
    23352
  • Bereaved father, Microsoft data scientists combat infant deaths

    Scientists crunching numbers on infant deaths in the US are using data-analysis algorithms to try and find new ways to reduce the number of babies lost to SIDS each year, with Microsoft contributing free cloud hosting and software tools for their work.

    Source: The Star
    9819
  • Data Science Terminology: 26 Key Concepts Everyone Should Understand

    Data science is the theory and practice powering the data-driven transformations we are seeing across industry and society today. Artificial intelligence (AI), self-driving cars, and predictive analytics are just a few of the breakthroughs that have been made thanks to our ever-growing ability to collect and analyze data.

    Source: Data Informed
    17409
  • 6 online data science courses to launch your career

    Want to be a data scientist? Third-level institutions and full-time education aren't the only way you can learn essential data science skills.

    Source: Siliconrepublic
    15276
  • How to get the best business value out of data scientists

    Well-established enterprises like retailers or manufacturing companies now have an abundance of data at their disposal. Unfortunately, merely possessing vast amounts of raw data does not lead directly to increased efficiency or the rapid development of new revenue streams. Instead, everyone must now figure out exactly how to make this data work for them.

    Source: Computerweekly
    19263
  • 5 professions that could see significant growth with the rise of AI

    The words artificial intelligence often conjure up a sense of fear and apprehension. Fear for the unknown possibilities of AI, fear for the AI-fueled dystopian images brought about by movies like The Terminator, and most practically, fear for the possibility that AI will someday take our jobs.

    Source: VB
    19827
  • Opinion Data engineers will be more important than data scientists

    Does it seem like the ability to find, hire and retain data scientists is a losing battle? Is spending $500.000-plus per year for a data scientist worth it? What is a data scientist anyway?

    Source: IM
    14991
  • Using data to stay ahead of the herd

    Coupled with technology, data can transform the way businesses operate to stay ahead of their competitors.

    Source: Daily Nation
    9537
  • MAKING A CASE FOR SEXY

    While all the attention is on the data scientists, it's market research where the really interesting work is says Ryan Howard.

    Source: RESEARCHLIVE
    11043
  • LinkedIn: Machine learning jobs are on the rise

    Machine learning engineers, data scientists, and Big Data engineers are among the top emerging jobs in technology. This is based off of a recently released report from LinkedIn.

    Source: SD Times
    12087
  • Great Data Scientists Don't Just Think Outside the Box, They Redefine the Box

    Special thanks to Michael Shepherd, AI Research Strategist, Dell EMC Services, for his co-authorship. Learn more about Michael at the bottom of this post.

    Source: Linkedin Pulse
    18651
  • How one can become Data Scientist! Must to Know

    Based on historical data and accurately predicting some patterns out of it then, Data science comes into the picture. Data Science is the data driven decision making and building business strategies based on data analysis by removing any manual or judgemental error. Data Science is everywhere and here is the rescue for how to be a data scientist.

    Source: HOB
    11664
  • 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
    25710
  • Five Big Data and Data Science Trends to Expect In 2018

    According to an IDC Digital Universe Study, by the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet. Uncovering insights from this homogenous amount of information will require the seamless adoption of big data technologies, stronger data security, and integration of AI, machine learning and cognitive technologies applications with business operations

    Source: HOB
    13386
  • The growing demand of Data Scientists

    The exploding demand for data scientists is representative of a need that will not slow down anytime soon. The monetary value of storing, workings with and drawing penetration from data keeps falling the demand for professionals that can work with this data and deliver on the insight will continue to grow.

    Source: HOB
    16992
  • Major Challenges Faced by Data Scientists

    Data science is ubiquitous and is broadening its branches all over the world. The invisible hand of data science in the form of ranking algorithm governs the news streams and feed, recommendation engines that guide the content we see on Netflix and YouTube. Similarly, survival analyses for the estimation of time queues and neural networks for self-driving cars. But there includes a lot of challenges which hinders a data scientist while dealing with data.

    Source: HOB
    9612
  • 5 Myths About Artificial Intelligence

    Artificial intelligence is the future. Google, Microsoft, Amazon and Apple are all making big bets on AI. Artificial Intelligence (AI) is all the rage from self-driving cars and Siri personal assistants, to chatbots and email scheduling agents that will take routine tasks out of human hands.

    Source: HOB
    9723
  • Why Should You Learn Data Science: Know Top 10 Reasons

    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
    9186
  • Harvard's New Data Science Program Signals a Big Shift for Businesses

    Data science informs entrepreneurs in a way that listening to their gut just can't.

    Source: HOB
    13086
  • Harvard's New Data Science Program Signals a Big Shift for Businesses

    Harvard hosts some of the most prestigious programs in the world, especially in business and law. So it was big news in the data science industry when the university announced a new master's program in data science in March 2017

    Source: HOB
    14118
  • Data Psychology: The Future of Data Scientists

    Based on historical data and accurately predicting some patterns out of it then, Data science comes into the picture. Data Science is the data driven decision making and building business strategies based on data analysis by removing any manual or judgmental error. Data Science is everywhere and here is the rescue for how to be a data scientist. Data scientists basically deal with huge no of both the data whether structured or not structured and the future of data scientists will be data psychology.

    Source: HOB
    8184
  • 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
    18828
  • 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
    8049
  • Importance and Scope of Data Analytics in Business World: Need To Know

    Analytic is the interpretation of the data collected. Raw form of data is not of any use. It is important to convert raw data into analytic so that it is easier to find that what is the decision that are to be taken by the use of analytic. Businesses use this analytic for making actionable business analytic that will help them in taking real time actions.

    Source: HOB
    21408
  • 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
    15792
  • Developers Should have Strong Understanding of "Machine Learning Algorithms"

    For any tech enthusiast, knowing certain Machine Learning Algorithms and its applications have now become very important. Tech giants like Google, Amazon, Facebook, Walmart are using Machine Learning significantly to keep their business tight enough to compete with their rivalries.

    Source: HOB
    10128
  • 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
    16062
  • The answer to recruit the best data scientist for employers

    It was declared as the "sexiest job of the 21st century," by Harvard Business Review. While the job has got a great description by Harvard the career path for now is a bit uncertain.

    Source: HOB
    10992
  • How Organizations can get Best Out of Data Scientists?

    Data Scientists is the highest paying and demanding job in the current year. All HR professionals are under pressure to get hired the best data science talent so they can achieve the valuable business insights. According to Harvard Business Review described the role of data scientists as it is the sexiest job of the 21st century.

    Source: HOB
    6942
  • Business Results can be Improved With the Help of Big Data Analytics

    Big Data Analytics is the perfect solution for the complex problems. Every marketer have to take right decision for their organization and now for all those decisions they need not to be depend on their employees. With the help of big data analytics they can easily come to know about each fact and findings.

    Source: HOB
    8268
  • Why Data Sciences Today Cannot Be Ignored by Smart Entrepreneurs?

    With data sciences being the focal point, Entrepreneur India analyses why this new trend is now the essential tool for a majority of smart entrepreneurial solutions.

    Source: HOB
    9888
  • What are the difference between Data Scientists, Data Engineer

    The growth of data and its usage across the industry is hidden from none. During the last decade in general, and the last couple of years in particular, we have seen a major distinction in the roles tasked with crafting and managing data.

    Source: HOB
    9042
  • Data Science Leads to the Business Success

    In today's world with the introduction of "Internet of Things" and the improvement of "AI Technology" has led to implementation of big data solutions to almost every organization whether small or large organizations. With the help of big data analytics the management can easily take the decision and improve their operational efficiency.

    Source: HOB
    9912
  • 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
    13140
  • Building Data Science Capabilities for Companies and Know the Real Potential of Data Scientists

    Now a day's most of the organizations are using Data Science capabilities to shape the next set of products which will be more personalized and dynamic. Businesses across verticals have been sitting on huge quantities of data over the years, in various forms like customer, partner, and internal data.

    Source: HOB
    10530
  • Machine Learning trends in 2018 we should know about.

    Machine learning is increasingly being deployed in credit card purchase fraud detection, personalized advertising though pattern identification, personalized shopping/entertainment recommendations, to determine cab arrival times, pick-up locations, and finding routes on maps.

    Source: HOB
    8067
  • Do Data Scientists Really Deserve The Salary Growth as They Get Now?

    Data scientists who find themselves straying too far away from technical work may quickly find their skills out of date and unmarketable in today's climate.

    Source: HOB
    8598
  • 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.

    Source: HOB
    10779
  • 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.

    Source: HOB
    6297
  • Is Really Data Scientists Are Looking For Good Opportunities?

    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.

    Source: HOB
    11526
  • Know Which Tools Help Data Scientists To Improve Their Productivity?

    With the manifold of data science tools in the market, it is certainly a rising challenge for you as a data scientist or a blooming data scientist to sort out the best ones.

    Source: HOB
    18885
  • Nothing Is Persistent: Here The Job Description Of Data Scientist Is Revamping!

    Yet the task description of data scientists is ever-changing. the increase of computing, machine learning, and automatic information assortment means that the character of their work is shifting at a speedy pace. Time-intensive tasks, together with information assortment, have become less primary as they become machine-driven, giving thanks to additional strategic tasks.

    Source: HOB
    8676
  • Some books which are not about data science but data scientists should go through it

    Over the past years, it was witnessed that data science is majorly used by everyone and there are rise and fall of some words like big data, business intelligence, analytics and these days artificial intelligence. Today there are many aspiring data scientists who are encouraged in learning the techniques of modeling. There are several books which will help a data scientist to get prepared philosophically.

    Source: HOB
    32211
  • Educations forthcoming: The artificial intelligence Nanodegree program

    Across many industries, there are many large enterprises and businesses having the high performance which are tidily turning towards artificial intelligence and new analytics to make the decisions faster, productively and data-driven.

    Source: HOB
    7146
  • The secret of 2019: How marketing will be enhanced?

    Four forces are deep at work altering the landscape for marketing in 2019 and beyond. The forces and the opportunities they represent are hidden in plain sight. Take privacy for example. Many still view privacy policies as a check-the-box legal exercise, yet consumer attitudes toward privacy and data collection have fundamentally changed.

    Source: HOB
    7026
  • Development of Legal industry through Big Data

    Across many industries, big data is being used to drive decisions which are informed and better ones. But it is used in the legal industry is relatively new, mainly because most law firms are resistant to both change and new IT expenditures on unfamiliar initiatives.

    Source: HOB
    6699
  • 5 ways Machine Learning is reshaping business

    Machine Learning is the most powerful tool that businesses are using today. Software and machines have been developed which are not just performing operations for businesses but also enhancing and reshaping the business.

    Source: HOB
    10737
  • Courses which can enhance your skills in deep learning and artificial intelligence

    Here are two courses by famous writers which will help you in building your skills in deep learning and artificial intelligence.

    Source: HOB
    7392
  • Drawbacks through which Analytics Strategy stopped working

    There are multiple reasons why your analytics strategy might not be working. Here is the overview of why is it so and how you can overcome them.

    Source: HOB
    8478
  • How Do We Separate Machine Learning, Artificial Intelligence and Deep Learning?

    When we talk about machine learning, the eye of the media is a blessing as well as the curse. Although it's great that AI has captivated the general public, the way that the media discusses it often obscures the meaning of the term entirely.

    Source: HOB
    8511
  • Google's Launched First Machine Learning Program At Mills College For IT Students

    Google's machine learning program launched 11 Feb 2019 at Mills College in Oakland, California, and will train a cohort of future data scientists to help address the country's computer science workforce gap.

    Source: HOB
    16128
  • How Data Science Makes You The Future Leader

    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.

    Source: HOB
    6807
  • Machine Learning with R Programming Language Makes Your Career Balanced

    It seems that these days building a career is a bit dicey task and here you will see how to build a career in machine learning with R programming language.

    Source: HOB
    7503
  • Blockchain Technology Appeals To The Data Scientists. How?

    In regards to bitcoin, blockchains implications to data science are quite transparent.

    Source: HOB
    6624
  • Learn Computer Vision With These Top Class Books

    This article is supposed to make you familiar you some of the most useful books on Computer Vision which will give you a thorough understanding of the field and will imbibe deeper understanding in you of the various concepts.

    Source: HOB
    7323
  • Statistics Concepts Every Data Scientist Should Know

    Statistics plays a very important role in Data Science. The article draws out some statistical concepts that every Data Scientist should know.

    Source: HOB
    9027
  • Which are some of the most Frequently Asked questions in Data Science?

    This article will dive through some of the most Frequently Asked questions in Data Science Interviews with the help of a popular video of YouTube so that your preparation for the next Data Science interview becomes easier.

    Source: HOB
    9243
  • Why Augmented Analytics is the Future of Data and Analytics?

    The report by Gartner states Augmented Analytics as an approach that automates insights using machine learning and natural language generation.

    Source: HOB
    16590
  • Crack Interviews- 7 Most Important Terms that Every Data Scientist Should Know

    The 7 most important terms in Data Science that every Data Scientist must know while making a career in Data Science are discussed in the present article.

    Source: HOB
    7659
  • Aspiring Data Scientists Must Master These 3 Skills!

    This article discusses those top 3 skills which are required by every Data scientist and it won't be wrong to say that these 3 skills are like the 3 keys in unlocking your success-door in the field. It thus becomes very important that you take these 3 skills very sincerely and start developing them right from today.

    Source: HOB
    6438
  • How Do I find Insights out of Data? An Answer to the Bigger Question

    Data is everywhere. Data is flooding. Data is in huge quantity. But how do I find insights out of this data? This is the big question which everyone asks in this data-driven world.

    Source: HOB
    5316
  • Which are the Best Books on Reinforcement Learning

    Books are always the best sources to explore while learning a new thing. Reinforcement Learning has finds its huge applications in recent times with categories like Autonomous Driving, Computer Vision, Robotics, Education and many others. Here are some best books on Reinforcement Learning that you can easily find on Amazon

    Source: HOB
    27123
  • Machine Learning Engineer is the Best job in the U.S for 2019 According to Indeed

    With an Average base salary of $146085, Machine Learning Engineer stood as the best job in the U.S FOR 2019 according to a recent report by Indeed.

    Source: HOB
    8316
  • Data Scientist must adore these Data Science Books

    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.

    Source: HOB
    7476
  • A complete Beginner's guide in Data Science

    For a beginner who want to start a career in Data Science, a lot of online platforms are available providing a bunch of information about the field and offering several courses but still there is some ambiguity that still lies in the mind of the aspirants about the careers, salaries, growth rate, skills, and the the various positions in Data Science.

    Source: HOB
    8931
  • 5 ways Machine Learning is reshaping business

    Thanks to Machine Learning that businesses can now be reliable to Machine learning in knowing their customers, predicting their customer wants, assisting their customers and moving the business to the next level.

    Source: HOB
    9315
  • If Developing a Career in Data Science, then you must Build concepts with these Books!

    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.

    Source: HOB
    7197
  • Get the most meaningful insights out of your data with these tips.

    It doesn't matter how much data businesses collect, unless they are unable to find actionable insights out of it, all data collected is useless.

    Source: HOB
    7968
  • Data Science degree adds value to your career. But how?

    If you are looking to start a new career that is in high demand, then you need to continue reading.

    Source: HOB
    10017
  • Data Science: The Climax of your future Career

    The wide application of Information Technology and Computer Science has given rise to so many new fields in the corporate sector which have enormous potentials and possibilities.

    Source: HOB
    7353
  • Can Big Data Analytics transmute youth's future?

    Big data analytics is all about how you store the huge amount of data and how you process it to get meaning out of it to draw conclusions and make the correct business decisions.

    Source: HOB
    5823
  • Analytics and Business Intelligence are becoming innovative through some trends for Business Leaders

    The emergence of relationship analytics highlights the growing use of a graph, location, and social analytical techniques.

    Source: HOB
    8130
  • Working of Big Data and AI in a connected way

    Big data isn't quite the term de rigueur that it was a few years ago, but that doesn't mean it went anywhere. If anything, big data has just been getting bigger.

    Source: HOB
    9243
  • How the Healthcare Industry is revolutionized by Data Science?

    Data Science in today's world is not just a profession or a kind of study. It's a revolution, and it's hard to find any industry which has not been impacted by it.

    Source: HOB
    6498
  • Login
  • Register
Forgot Password?

Password reset link has been sent to your mail

Thank you for your registration has been Successfully done.

VALUEFIRST DIGITAL MEDIA PVT. LTD.
B-18, Sector-34, Infocity, Gurugram,
122001, INDIA.
About Us Contact Us Privacy Policy RSS Feeds
Twitter Facebook Skype
House of Bots @ 2021, ValueFirst