Predictive Analytics Times
Predictive Analytics Times
EXCLUSIVE HIGHLIGHTS
Dr. Data Show Video: How Can You Trust AI?
 Watch the second episode of The...
Three Common Mistakes That Can Derail Your Team’s Predictive Analytics Efforts
  Originally published by Harvard Business...
Artificial Intelligence: Are We Effectively Assessing Its Business Value?
 As most data science practitioners know,...
Dr. Data Show Video: Why Machine Learning Is the Coolest Science
 Watch the premiere episode of The...

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Welcome to the machine learning professionals’ premier resource, delivering timely, relevant industry-leading content: articles, videos, events, white papers, and community. The only full-scale content portal devoted exclusively to predictive analytics and its commercial deployment, the Predictive Analytics Times has become a standard must-read.

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 Originally published in KDNuggets, September 2018 Research indicates data science is...

 Originally published in Towards Data Science  September 19, 2018 For today’s...

 Originally published in insideBIGDATA  January 20, 2018. Netflix has over 100...

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     Watch the second episode of The Dr. Data Show, which answers the question, “How can you trust artificial intelligence?” About the Dr. Data Show. This new web series breaks the mold for data science infotainment, captivating the planet with short webisodes that cover the very best of machine learning and predictive analytics. Click here for […]

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      Originally published by Harvard Business Review With today’s high demand for data scientists and the high salaries that they command, it’s often not practical for companies to keep them on staff.  Instead, many organizations work to ramp up their existing staff’s analytics skills, including predictive analytics. But organizations need to proceed with caution. Predictive […]

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     As most data science practitioners know, artificial intelligence (AI) is not new and has been explored by academia back as far back as the fifties. The real core of AI is the branch of mathematics related to neural nets which have been explored both by academia as well as data science practitioners. A number of […]

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     Watch the premiere episode of The Dr. Data Show, which answers the question, “What makes machine learning the coolest science?” About the Dr. Data Show. This new web series breaks the mold for data science infotainment, captivating the planet with short webisodes that cover the very best of machine learning and predictive analytics. Click here […]

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     Originally published in The San Francisco Chronicle (the cover article of Sunday’s “Insight” section) What if the data tells you to be racist? Without the right precautions, machine learning — the technology that drives risk-assessment in law enforcement, as well as hiring and loan decisions — explicitly penalizes underprivileged groups. Left to its own devices, […]

  • 1 month ago
    Data Reliability and Validity, Redux: Do Your CIO and Data Curators Really Understand the Concepts?

     

     Here are two recent entries on the big but neglected issue of data reliability and analytic validity (DR&AV), from the vast commentariat that is LinkedIn: One of my complaints with hashtag#bigdata, is there isn’t enough focus on getting the right kind of data. We deal with this in healthcare all the time. Much of our […]

  • 2 months ago
    On Variable Importance in Logistic Regression

     

     The model looks good. It’s parsimonious, provides effective segmentation, and the predictors appear to be intuitively reasonable. While there is no problem with deploying results, you need to be able to order the variables in terms of their importance, a seemingly straightforward task. However, this is not as easy to do, as it appears. It’s […]

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