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  • With AI It’s Adoption That Matters February 25, 2020
    Summary:  How to measure the degree and value of AI adoption among companies or even countries is hard.  Here’s a beginning proposal on how to get started.   We talk a great deal about whether there are enough data scientists to go around, whether our advancements in AI techniques are better than others, if…
    William Vorhies
  • The difference between Statistics and Data Science: Big Data and Inferential Statistics February 23, 2020
    This post is based on two insightful threads I read online (References below) Based on these, I address the question of ‘The difference between Statistics and Data Science’. Traditionally, most people, including me, would say that ‘statistics came first and Data Science builds upon statistics’. This chain of thought is valid but as you see…
    ajit jaokar
  • Weekly Digest, February 24 February 23, 2020
    Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.  …
    Vincent Granville
  • Likely, unlikely, certain and impossible February 21, 2020
    I live in Jacksonville, Florida, where the odds of a hurricane on any given day are "improbable". But does that mean I shouldn't stock up on hurricane supplies and have an emergency preparedness plan? Far from it. Hurricane Irma blew through my city in 2017, causing around $85 million in damage and the worst…
    Stephanie Glen
  • How the Use of Design Thinking Prevents Rushing into Solution Mode February 21, 2020
    “We are too busy building the solution to bother the customer to identify, validate, value and prioritize their requirements.” – Name not disclosed to protect the ignorant I see this habit all the time with experienced people; the tendency to jump right into solution mode when dealing with customers. Many of these experienced “experts” have […]
    Bill Schmarzo
  • Popular Programming Languages: 1960 to 2020 February 20, 2020
    In one great video. [youtube] Enjoy the video!
    Capri Granville
  • Dataframe Storage Efficiency in Python-Pandas February 18, 2020
    Summary: It's no secret that Python-Pandas is central to data management for analytics and data science today. Indeed, what we're seeing now is Pandas being extended to handle ever-larger data. Underappreciated is that Pandas is a tunable platform, supporting its own datatypes as well as those from numerical library Numpy. Together, these comprise…
    steve miller
  • Advanced Analytic Platforms – Changes in the Leaderboard 2020 February 17, 2020
    Summary: The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out the big news is how much more capable all the platforms have become.  Of course there are also some interesting winner and loser stories.   The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out for […]
    William Vorhies
  • Which masters or PhD program should I choose for Data Science or Artificial Intelligence? February 17, 2020
      Which masters or PhD course should I choose for Data Science or Artificial Intelligence?   This is one of the most common questions I am asked   Here is my view – and the usual caveats apply – i.e. the viewpoint is personal and is not associated with any company or institution I am…
    ajit jaokar
  • Driving Stakeholder Engagement with an Interactive Hypothesis Development Canvas February 17, 2020
    “Begin with an end in mind” – Stephen Covey “7 Habits of Highly Effective People” No truer words have ever been spoken.  A simple phrase that makes everyone’s life easier and more productive.  Our data science team tries to live by that simple phrase, but it’s difficult because we want to jump right into “solution […]
    Bill Schmarzo

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