Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Our Last Hope Before The AI Bubble Detonates: Taming LLMs
  Originally published in Forbes To know that we’re in...
The Agentic AI Hype Cycle Is Out Of Control — Yet Widely Normalized
  Originally published in Forbes I recently wrote about how...
Predictive AI Must Be Valuated – But Rarely Is. Here’s How To Do It
  Originally published in Forbes To be a business is...
Agentic AI Is The New Vaporware
  Originally published in Forbes The hype term “agentic AI”...

Original Content

Predictive Analytics and the Internet of Things

 As technology continues to empower our ability to conduct analytics with “Big Data”, the “Internet of Things” has arisen as an area where devices themselves capture and transmit data albeit machine-level type data. Let’s discuss some of these devices. Telematics is revolutionizing the auto insurance industry as devices are placed in cars which actually record

Wise Practitioner – Predictive Analytics Interview Series: Mario Vinasco at Facebook

 In anticipation of his upcoming conference presentation, Advanced Experimentation in Social Networks at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Mario Vinasco, Marketing Analytics Data Scientist at Facebook, a few questions about his work...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Vishwa Kolla at John Hancock Insurance

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, Embedding Advanced Analytics into Acquiring, Nurturing and Retaining Talent, we interviewed Vishwa Kolla, AVP, Head of Advanced Analytics, at John Hancock Insurance. View the Q-and-A below to see...

In Predictive Analytics, Coefficients are Not the Same as Variable Influence, Part II

 In my last post, “Coefficients are not the same as variable influence”, I argued that coefficients in a linear regression model are useful but limited in answering the question, “which variables are most influential in model predictions?”...

Wise Practitioner – Predictive Workforce Analytics Interview Series: John Lee at Equifax Workforce Solutions

 In anticipation of his upcoming Predictive Analytics World for Workforce conference co-presentation, Using Predictive Analytics to Reduce Unemployment Insurance Costs, we interviewed John Lee, Statistical Consultant at Equifax Workforce Solutions. View the Q-and-A below to see how John Lee has incorporated...

Wise Practitioner – Predictive Analytics Interview Series: Peter Bull at DrivenData

 In anticipation of his upcoming conference presentation, Predicting Restaurant Violations via Yelp Reviews: Crowdsourcing for Social Good, at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Peter Bull, Co-founder at DrivenData, a few questions about...

The “Predictive Analytics” FAQ — What’s New in the Updated Edition and Who’s The Book for?

 This is the preface to Eric Siegel’s newly-released Revised and Updated edition of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die—available in paperback, e-book, and audiobook. This preface is also available as a...

Wise Practitioner – Predictive Analytics Interview Series: Matt Bentley at CanIRank.com

 In anticipation of his upcoming conference presentation, Predicting Online Marketing Success: Five Lessons Learned at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Matt Bentley, Founder of CanIRank.com, a few questions about his work in...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Lisa Disselkamp and Tristan Aubert at Deloitte

 In anticipation of their upcoming Predictive Analytics World for Workforce conference co-presentation, Predictive Analytics Unlocks Sustainable Cost Reduction In Hourly Workforce, we interviewed Lisa Disselkamp, Director at Deloitte, and Tristan Aubert, Senior Consultant – Advanced Analytics & Modeling at...

The Data Scientist’s Dilemma: Does Skipping Breakfast Kill You?

 Would skipping breakfast kill you? Not necessarily—but confusing correlation and causation might. Find out why in this article, originally published in Quartz and adapted from Eric Siegel’s recently-released Revised and Updated, edition of Predictive Analytics: The Power to Predict Who...

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