Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
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,...

Original Content

Feature Engineering Within the Predictive Analytics Process — Part Two

 In the last article, I discussed the concept of feature engineering as comprising two components with the first component being the ability to create and derive meaningful variables in the analytical file which is used as the source information in the development of any predictive analytics solution. Within this first component, access to data has

HBO Teaches You How to Avoid Bad Science

 Do you know what p-hacking is? John Oliver – of HBO’s “Last Week Tonight” and formerly of “The Daily Show with Jon Stewart” – does. It’s a tricky, potent analytical pitfall that’s gaining increased, deserving attention –...

Jim Sterne’s Book Review of “Predictive Analytics” by Eric Siegel

 Book review originally published in the journal Applied Marketing Analytics Eric Siegel’s book, ‘Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie or Die’ gets its subtitle from the many ways statistical prognostication has been...

The Big Picture: Today’s Data Analytics Stack

 Enterprises are inundated with data from social, mobile, IoT and other technologies. The pace of the data flow is only accelerating. Over 300 hours of videos are uploaded on YouTube every minute, and this has grown from...

Taking Action on Technical Success: A Fable of Data Science and Consequences

 Note: This story is fiction, but it is based on experience with real clients. Any resemblance to people you know is incidental. You can read the prequel to this episode here. Michael’s Tale, Continued TalkThree’s new Analytics...

Analytics is (often) a Faith-Based Business

 If you follow data science topics in various social media channels, you’ll invariably see a lot of blog posts about A/B testing along with announcements about new tools and techniques for doing the associated analyses. I am...

Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Chris Labbe at Seagate Technology

 In anticipation of his upcoming Predictive Analytics World for Manufacturing conference presentation, Building a Predictive Analytics Organization, we interviewed Chris Labbe, Managing Technologist at Seagate Technology. View the Q-and-A below for a glimpse of what’s in store at the PAW Manufacturing...

Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Peter Frankwicz at Elmet Technologies

 In anticipation of his upcoming Predictive Analytics World for Manufacturing conference presentation, Improved Statistical Process Control of Mature Manufacturing Processes Using Multiple Available Data Streams, we interviewed Peter Frankwicz, Senior Process Engineer at Elmet Technologies. View the Q-and-A below for a...

Wise Practitioner – Text Analytics Interview Series: Dirk Van Hyfte at InterSystems Corporation

 In anticipation of his upcoming conference co-presentation, Personalized Medicine and Text Analytics at Text Analytics World Chicago, June 21-22, 2016, we asked Dirk Van Hyfte, Senior Advisor for Biomedical Informatics at InterSystems Corporation, a few questions about...

Wise Practitioner – Text Analytics Interview Series: Michael Dessauer and Justin Kauhl at The Dow Chemical Company

 In anticipation of their upcoming conference co-presentation, Understanding our Customers’ Customers’ Customers’ Needs – Text Analytics for B-to-B Businesses at Text Analytics World Chicago, June 21-22, 2016, we asked Michael Dessauer, Data Scientist at The Dow Chemical...

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