Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Re-examining Model Evaluation: The CRISP Approach
 The performance of prediction models can be judged using...
An Agile Approach to Data Science Product Development
 Introduction With the huge growth in machine learning over...
Wise Practitioner – Predictive Analytics Interview Series: Haig Nalbantian at Mercer – BIZ
 By: Eric Siegel, Founder, Predictive Analytics World for Business...
Is What You Did Ethical? Helping Students in Computational Disciplines to Think About Ethics
 In addition to this article, Dr. Priestly will also...

Original Content

Wise Practitioner – Predictive Analytics Interview Series: John Smits of EMC

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Be a Data Detective

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Predicting Employee Flight Risk: My Take

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The Key to Modelling Success -The Variable Selection Process (Part 1)

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Predictive Analytics World in Color [Infographic]

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Space Alien Eager to Convey Thoughts on Data Science

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Defining Measures of Success for Predictive Models

 Excerpted from Chapters 2 and 9 of his book Applied Predictive Analytics (Wiley 2014, http://amzn.com/1118727967) The determination of what is considered a good model depends on the particular interests of the organization and is specified as the...

Overstatement of Results in Predictive Analytics

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The Biggest Lever to Success in Predictive Analytics

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Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Field Cady at Think Big Analytics

 In anticipation of his upcoming Predictive Analytics World for Manufacturing conference presentation, Staying Ahead of Failure: Parametric Data and Analytics in High-Tech Manufacturing, we interviewed Field Cady, Senior Data Scientist at Think Big Analytics. View the Q-and-A below to see how...

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