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,...

Predictive Analytics

Data Mining for Predictive Social Network Analysis

 Given this enormous volume of social media data, analysts have come to recognize Twitter as a virtual treasure trove of information for data mining, social network analysis, and information for sensing public opinion trends and groundswells of support for (or opposition to) various political and social initiatives. Twitter Trend Topics in particular are becoming increasingly

4 Key Thrust Areas for Predictive Analytics World – Manufacturing 2016

 As we move to year 3 of the Predictive Analytics World – Manufacturing annual conference, we are continuing to build on the momentum from the first two years. Our primary focus areas have remained more or less the...

4 Reasons Why Healthcare Needs Data Science

 The amount of healthcare data continues to mound every second, making it harder and harder to find any form of helpful information. In the healthcare industry, what could be more important than having better healthcare outcomes? Each...

Wise Practitioner – Predictive Workforce Analytics Interview Series: Michael Li at The Data Incubator

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, Finding Top Data Scientists for Your Organization: Optimize the Hiring Process with Analytics, we interviewed Michael Li, CEO at The Data Incubator.  View the Q-and-A below to see...

In Predictive Analytics, Coefficients are Not the Same as Variable Influence

 When we build predictive models, we often want to understand why the model behaves the way it does, or in other words, which variables are the most influential in the predictions. But how can we tell which...

A Rogue Liberal: Halting NSA Bulk Data Collection Compromises Intelligence

 This Newsweek article, originally published in Newsweek’s opinion section and excerpted here, resulted from the author’s research for a new extended sidebar on the topic that will appear in the forthcoming Revised and Updated, paperback edition of...

3 Big Data Use Cases for Manufacturing Analytics

 We have executed a multitude of data science projects in the manufacturing vertical. While most of them were done without the help of big data tools, we think most of them will require such capabilities as we expand the...

Analysts with Superpowers

 USE CODE PATIMES16 for 15% off Predictive Analytics World Conference pass. Imagine that you are a business analyst who works for an organization with executives, managers and colleagues who do not appreciate the power of analytics to...

Most Swans are White: Living in a Predictive Society

 In anticipation of the forthcoming Revised and Updated, paperback edition of Eric Siegel’s Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (coming January 6, 2016—preorder today), read here its Foreword by Thomas...

Misconceptions About Predictive Analytics

 Predictive analytics is often cited as a key business driver for Big Data. It is easy to see how predictive analytics, when done right, can represent a strong competitive advantage for companies. Such as: Enabling companies to...

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