Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Why You Must Twist Your Data Scientist’s Arm To Estimate AI’s Value
 Originally published in Forbes, June 11, 2024. If you’ve...
3 Ways Predictive AI Delivers More Value Than Generative AI
 Originally published in Forbes, March 4, 2024. Which kind...
AI Success Depends On How You Choose This One Number
 Originally published in Forbes, March 25, 2024. To do...
Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype
 Originally published in Forbes, April 10, 2024 When OpenAI’s...

Original Content

Wise Practitioner – Predictive Analytics Interview Series: Steve Weiss, at LinkedIn

In anticipation of his upcoming conference presentation, The Sprint for Teaching Data Science: LinkedIn Learning, Analytics and the New Era of Just-In-Time Skills Training at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Steve Weiss, Content Manager, Data Science and Business Analytics, at LinkedIn, a few questions about his work

Wise Practitioner – Predictive Analytics Interview Series: Emilie Lavoie-Charland at The Co-operators

 In anticipation of her upcoming conference presentation, Which Predictive Model Will Best Help Increase Retention? at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Emilie Lavoie-Charland, Research & Innovation Analyst at The...

Doppelganger Discovery: How Baseball Sabermetrics Inspires Predictive Analytics

 This author will present at Predictive Analytics World, Oct 29 – Nov 2 in New York. This article is excerpted from his book, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are....

Predicting Fraud: Another Not So Easy Task

 As I have stated in previous articles, the most difficult challenge in building predictive models is the creation of the analytical file. Typically, this comprises between 80%-90% of the data scientist’s time with 10%-20%  comprising the actual...

Are You Practicing “Bad Data Science” with your Pre-Hire Talent Assessments?

 Talent Analytics uses data gathered from our own proprietary talent assessments as an input variable to predict hiring success – pre-hire.  We treat this dataset just like any other dataset in our predictive work.  We are careful...

Wise Practitioner – Predictive Analytics Interview Series: Leslie Barrett at Bloomberg L.P.

 In anticipation of her upcoming conference presentation, Crowd-Sourcing and Quality: How To Get The Best Out of Hand-Tagged Training Data for Machine Learning Models at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we...

Why Data Science Argues against a Muslim Ban

 From the perspective of data science, a Muslim ban would weaken security, not strengthen it (click for additional articles by Eric Siegel on analytics and social justice). Originally published by Scientific American June 14, 2017 Let’s not...

Wise Practitioner – Predictive Analytics Interview Series: Andrew Burt at Immuta

 In anticipation of his upcoming conference presentation, Regulating Opacity: Solving for the Conflict Between Laws and Analytics at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Andrew Burt, Chief Privacy Officer &...

Wise Practitioner – Predictive Analytics Interview Series: Feyzi Bagirov at Becker College

 In anticipation of his upcoming conference presentation, Acquisition Funnel for Higher Education at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Feyzi Bagirov, Data Science Advisor at Metadata.io and Analytics Instructor, Harrisburg...

Wise Practitioner – Predictive Analytics Interview Series: Jack Levis at UPS

 In anticipation of his upcoming keynote conference presentation, UPS’ Road to Optimization, at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Jack Levis, Senior Director, Process Management at UPS, a few questions...

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