Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Overcoming the Explainability Challenges of Machine Learning Models
 Some History Machine Learning Models, which have historically been...
What’s In Your Basket?
 You’re finally upgrading to a top of the line...
8 Things That Algorithms Can Do Better Than Humans
 We humans like to think that we are at...
Industrial Asset Optimization: Connecting Machines Directly with Data Scientists
 For more from this author, attend his virtual presentation,...

Big Data

Can Big Data Lie: A Statistical Paradox

 While I have spent most of my career exploring and leveraging data science, and its associated rigorous analytics, only in the past decade or so have so many managers accepted the obvious- that data driven decision making far surpasses the old seat-of-the-pants approach. The sophisticated  warehouses,  the acceptance of cloud computing, and the huge availability

Dr. Data Show Video: What the Hell Does “Data Science” Really Mean?

 Watch the latest episode of The Dr. Data Show, which answers the question, “What the hell do data science and big data really mean?” About the Dr. Data Show. This new web series breaks the mold for...

Big Data Already Paying Off in Insurance Fraud Detection

 There’s a lot of talk right now about how big data is going to change insurance. Artificial intelligence and prescriptive analytics are definitely coming, and they will definitely change the insurance industry. To get a better idea...

Sound Data Science: Avoiding the Most Pernicious Prediction Pitfall

  In this excerpt from the updated edition of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, Revised and Updated Edition, I show that, although data science and predictive analytics’ explosive popularity...

Wise Practitioner – Predictive Analytics Interview Series: Frédérick Guillot at The Co-operators General Insurance Company

 In anticipation of his upcoming conference presentation, Defining Optimal Segmentation Territories – 10 Years of Research at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Frédérick Guillot, Senior Manager, Research and Innovation at The Co-operators...

Nine Bizarre and Surprising Predictive Insights from Data Science

  Data is the world’s most potent, flourishing unnatural resource. Accumulated in large part as the by-product of routine tasks, it is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of...

Wise Practitioner – Predictive Analytics Interview Series: Robin Thottungal at U.S. Environmental Protection Agency

 In anticipation of his upcoming conference keynote presentation, 21st Century Data-Driven Environmental Protection at Predictive Analytics World for Government, October 17-20, 2016, we asked Robin Thottungal, Chief Data Scientist/Director of Analytics at the U.S. Environmental Protection Agency...

Wise Practitioner – Predictive Analytics Interview Series: Miguel Castillo at U.S. Commodity Futures Trading Commission

 In anticipation of his upcoming conference co-presentation, Words that Matter:  Application of Text Analytics at the U.S. Commodity Futures Trading Commission, at Predictive Analytics World for Government, October 17-20, 2016, we asked Miguel Castillo, Assistant Inspector General...

Big Data vs. Privacy: A Balancing Act

 How can businesses continue to respect privacy concerns while still permitting the use of big data to drive business value? ‘Companies will now have an even greater obligation to protect the personal information entrusted to them, no...

Why Natural Language Processing Will Change Everything

 Do you talk to your computer or smartphone? Just a few years ago, that question would have been absurd. But with advances in natural language processing, the likelihood is that you have asked your phone to send...

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