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

Transitions: Predicting The Next Event

 Models predicting the potential spread of the COVID-19 pandemic have become a fixture of American life. Many of these models use typical demographic data, coupled with underlying medical conditions, infection rates, etc. Indeed, the spread of this disease may have made ‘predictive models’ a frequent household topic of conversation. Much discussion has occurred on the

Coursera’s “Machine Learning for Everyone” Fulfills Unmet Training Requirements

  My new course series on Coursera, Machine Learning for Everyone (free access), fulfills two different kinds of unmet learner needs. It’s a conceptually-complete, end-to-end course series – its three courses amount to the equivalent of a...

Segmentation and RFM Analysis in the World of Wine and Spirits

 Segmentation is a hot word these days, and it should be. No matter your business, one direct way to increase revenue is better communication with sales prospects. And better communication is a direct result of the granularity...

How Machine Learning Works – in 20 Seconds

  This transcript comes from the online course, Machine Learning Leadership and Practice – End-to-End Mastery. In 57 words, here’s why machine learning’s important: Business needs prediction. Prediction requires machine learning. And machine learning depends on data....

4 IoT Devices in Healthcare Making An Impact Now

IoT technologies increase the accessibility to patient data, enable real-time decision making, and offer ease and efficiency through automation. IoT-powered software solutions for the healthcare sector are shifting the focus from digitalization to intelligence....

Seven Reasons Budding Data Scientists Need a Machine Learning Course That’s Not Hands-On

  From Coursera’s “Machine learning for Everyone” My new course series on Coursera, Machine Learning for Everyone (free access), is for any learner who wishes to participate in the business deployment of machine learning, no matter whether...

Looking at Measurement and How We Evaluate the Impact of Reinforcement Learning Over Traditional Predictive Analytics

 Are we really at a new stage of so-called industrial development much like how the car replaced the horse and buggy as the main mode of consumer transportation? This would appear to be the case by some...

A Picture is Worth a Thousand Words: Correspondence Analysis

 Of all the analytic tools that are available to the researcher, perhaps cross tabulations are the most common. A crosstab is nothing more than a table showing the relationship between two or more variables. Where the table only shows...

Why Machine Learning is Central to Reverse Supply Chain 2.0

  E-commerce growth and a worldwide pandemic have brought to light the inefficiencies in the modern supply chain, especially the return process. The current return process is costly, inefficient, and wasteful. The following article explores how enabling...

Watch 3 Videos from Coursera’s New “Machine Learning for Everyone”

  I’m pleased to announce that, after a successful run with a batch of beta test learners, Coursera has just launched my new three-course specialization, “Machine Learning for Everyone.” There is no cost to access this program...

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