Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...

Original Content

The Role of Analysts After Model Deployment

Last month I made the case for discussing model deployment. One of the mistakes I see organizations make related to deployment is this: after the model is deployed, there is little or no thought about that model any more. This reaction is perfectly understandable. I know after I finish building models, especially ones that were difficult to...

How predictive analytics will power the internet of things

Recently, Nissan Motor announced that they will release a self driving car by 2020. According to Karl Brauer of Kelley Blue Book, “The technology to create self-driving cars is already here, as sci-fi as it...

Prediction Isn’t Just About Stocks. Predictive Persuasion

Prediction isn’t just for the stock market. Trading is just one of many ways to cash in on quantitative foresight. For mass marketing – and even presidential campaigns – it’s another story. In those areas, putting odds...

The Greatest Power of Big Data: Predictive Analytics

Every day’s a struggle. I’ve faced some tough challenges such as which surgery to get, how to invest for my business and even how to deal with identify theft. With so much stuff coming at me from...

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)...

7 Ways Predictive Analytics Helps Retailers Manage Suppliers

One of the most challenging aspects of the retail process is the collaboration between retailers and their suppliers or vendors. No matter how prepared a retailer can be they are still dependant on the vendor to provide...

Why Don’t We Talk about Deployment?

The Cross Industry Standard Process for Data Mining (CRISP-DM) is the leading published methodology for Data Mining (DM), and by extension, Predictive Analytics (PA). I use it routinely as I lead PA projects and when I...

Understanding Predictive Analytics: A Spotlight Q&A with Eric Siegel, author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die

This BeyeNETWORK spotlight features Ron Powell's interview with Eric Siegel, founder of Predictive Analytics World and author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die...

Predictive Analytics: “Freakonomics” Meets Big Data

While writing my book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, a certain well-known book strongly influenced me to make the science accessible, relevant, and even entertaining: Freakonomics: A...

5 Reasons to Not Care About Predictive Analytics

Technology: complex and alienating, or promising and fascinating?...

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