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,...

Machine Learning

Data Reliability and Validity, Redux: Do Your CIO and Data Curators Really Understand the Concepts?

 Here are two recent entries on the big but neglected issue of data reliability and analytic validity (DR&AV), from the vast commentariat that is LinkedIn: One of my complaints with hashtag#bigdata, is there isn’t enough focus on getting the right kind of data. We deal with this in healthcare all the time. Much of our

AI, Machine Learning, and the Basics of Predictive Analytics for Process Management

 APQC Chair Carla O’Dell interviews Predictive Analytics Times Executive Editor and Predictive Analytics World Founder Eric Siegel about predictive analytics and machine learning’s application to process management. Dr. Siegel will be speaking at APQC’s Process & Performance...

Why Your Analytics Must Ask the Data “Good” Questions — Ones that Reduce Data

 The problem of monetizing Big Data, or improving its usefulness in decision-making, stands out in every forward-looking organization today. To solve it, as everyone knows by now, it is not enough to store or manage it. We...

The Art of Data Science

 With much of the latest discussion focused on the latest techniques in machine learning  and in particular deep learning, the significant benefits of machine learning and deep learning are now a public reality. Yet, machine learning in...

Deep learning applications in railroads: Predicting carloads

 Originally published in Railway Age, January 31, 2018 For today’s leading deep learning methods and technology, attend the conference and training workshops at Deep Learning World Las Vegas, June 3-7, 2018.   The freight railroad industry is considered by...

12 Amazing Deep Learning Breakthroughs of 2017

 Originally published in Forbes, Feb 5, 2018 For today’s leading deep learning methods and technology, attend the conference and training workshops at Deep Learning World Las Vegas, June 3-7, 2018.   The quest to give machines a mind of...

Machine Learning – Can We Please Just Agree What This Means

 Originally published in Data Science Central, Dec 4, 2017 For the latest techniques in and revealing case studies about machine learning and predictive analytics, attend Predictive Analytics World for Business Las Vegas, June 3-7, 2018. As a...

Deep Learning vs. Machine Learning: A Data Scientist’s Perspective

 By: Rajendra Originally published in Houseofbots.com As artificial intelligence (AI) works its way into mainstream business practices, various different applications are coming up in conversations about how to best leverage the technology. In observing these conversations, I...

Wise Practitioner – Predictive Analytics Interview Series: Ron Cowan at Snowforce Data

 In anticipation of his upcoming conference presentation, Using Mileage Logs to Predict Successful Sales Behavior at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Ron Cowan, Founder at Snowforce Data, a few...

How Google is Remaking Itself as a “Machine Learning First” Company

  Originally published in Wired.com Carson Holgate is training to become a ninja. Not in the martial arts — she’s already done that. Holgate, 26, holds a second degree black belt in Tae Kwon Do. This time it’s...

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