Machine Learning Times
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Hybrid AI: Industry Event Signals Emerging Hot Trend
 Originally published in Forbes After decades chairing and keynoting myriad...
Predictive AI Thrives, Despite GenAI Stealing The Spotlight
 Originally published in Forbes Generative AI and predictive AI ought...
For Managing Business Uncertainty, Predictive AI Eclipses GenAI
  Originally published in Forbes The future is the ultimate...
AI Business Value Is Not an Oxymoron: How Predictive AI Delivers Real ROI for Enterprises
  Originally published in AI Realized Now “Shouldn’t a great...

Elder Research

3 Ways to Test the Accuracy of Your Predictive Models

 Editor’s note: This article compares measures for model performance. Note that “accuracy” is a specific such measure, but that this article uses the word “accuracy” to generically refer to measures in general. In data mining, data scientists use algorithms to identify previously unrecognized patterns and trends hidden within vast amounts of structured and unstructured information.

It is a Mistake to…. Ask the Wrong Question

 (Part 4 (of 11) of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) It is very important to have the right project goal; that is, to aim at...

It is a Mistake to…. Rely on One Technique

 (Part 3 of 11 of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) -John Elder (elder datamininglab com) “To a little boy with a hammer, all...

The Musings of a (Young) Data Scientist

I quit my job as a Mathematical Statistician after one year and two days. I left behind great benefits, job security, and guaranteed raises entirely because I felt unfulfilled. I was bored, lacked a sense of a...

Big Data Continued…

Big Data is not a singular concept but rather a label for a range of data issues. A few months ago I wrote an article about the Volume, Velocity, and Variety (and other “V’s”) of big...

It is a Mistake to… Focus on Training Results

(Part 2 of 11 of the Top 10 Data Mining Mistakes, drawn largely from Chapter 20 of the Handbook of Statistical Analysis and Data Mining Applications)...

Yet Another Big Data Article

It's like an irritating fly buzzing around your head – "Big Data". Do I have to hear the term one more time? As a Data Scientist who interacts with hard data problems on a daily basis, the...

Top 10 Analytic Mistakes–Today #0: Lacking Relevant Data

Mining data to extract useful and enduring patterns remains a skill arguably more art than science. Pressure enhances the appeal of early apparent results, but it is all too easy to fool oneself. How can one resist...

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