Machine Learning Times
Machine Learning Times
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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

Re-examining Model Evaluation: The CRISP Approach

 The performance of prediction models can be judged using a variety of methods and metrics. Some years ago, I was challenged to arrive at a set of rules that would provide both the analyst and marketer guidance as to how to evaluate results of a predictive modeling exercise. “What”- you ask-just look into a standard

An Agile Approach to Data Science Product Development

 Introduction With the huge growth in machine learning over the past few years, there is a lot of discussion, but few frameworks, on effective AI Project Management. Industry-standard frameworks for data analysis projects, like CRISP-DM, exist but...

Wise Practitioner – Predictive Analytics Interview Series: Haig Nalbantian at Mercer – BIZ

 By: Eric Siegel, Founder, Predictive Analytics World for Business In anticipation of his upcoming conference presentation at Predictive Analytics World for Business Las Vegas, May 31-June 4, 2020, we asked Haig Nalbantian, Senior Partner, Co-leader Mercer Workforce...

Is What You Did Ethical? Helping Students in Computational Disciplines to Think About Ethics

 In addition to this article, Dr. Priestly will also present on this topic at Predictive Analytics World for Business in Las Vegas, May 31-June 4, 2020. For details about her session, “How Leading Enterprises Leverage Universities to...

Wise Practitioner – Predictive Analytics Interview Series: Keith Higdon at ESIS

 By: Eric Siegel, Program Co-Chair, Predictive Analytics World for Financial In anticipation of his upcoming conference presentation at Predictive Analytics World for Financial, May 31-June 4, 2020, we asked Keith Higdon, President, ESIS, a few questions about...

Wise Practitioner – Predictive Analytics Interview Series: Bob Nisbet at University of California, Irvine

  By: Jeff Deal, Conference Chair, Predictive Analytics World for Healthcare In anticipation of his upcoming conference presentation at Predictive Analytics World for Healthcare Las Vegas, May 31-June 4, 2020 we asked Bob Nisbet, Instructor at University...

Recognizing Traffic Lights With Deep Learning

 I recently won first place in the Nexar Traffic Light Recognition Challenge, computer vision competition organized by a company that’s building an AI dash cam app. In this post, I’ll describe the solution I used. I’ll also...

Predictive Analytics: A Review Essay

 Predictive Analytics: The Power to Know Who Will Click, Lie, Buy or Die. Revised and Updated. Eric Siegel. (Wiley: Hoboken NJ. 2013, 2016) In 2013, as the worst effects of the crash had begun to reverberate out...

Predicting the President: Two Ways Election Forecasts Are Misunderstood

  Originally published by Big Think When it’s a presidential election year, speculation is in the cards. It’s the national pastime. Everyone wants to predict who’ll win. But, man, did people mismanage their own expectations leading up...

Wise Practitioner – Predictive Analytics Interview Series: Rajagopalan Chandrasekharan at General Electric

 By: Steven Ramirez, Conference Chair, Predictive Analytics World for Industry 4.0 In anticipation of his upcoming conference presentation at Predictive Analytics World for Industry 4.0 May 31-June 4, 2020, we asked Rajagopalan Chandrasekharan, Senior Engineer at General Electric, a...

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