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...

data science

Wise Practitioner – Text Analytics Interview Series: John Herzer and Pengchu Zhang at Sandia National Laboratories

 In anticipation of their upcoming conference co-presentation, Enhancing search results relevance using Word2Vec Language Models at Text Analytics World Chicago, June 21-22, 2016, we asked Pengchu Zhang, Computer Scientist at Sandia National Laboratories, and John Herzer, Enterprise Search Project Lead at Sandia National Laboratories, a few questions about their work in text analytics. Q: In your

Wise Practitioner – Predictive Analytics Interview Series: Thomas Schleicher at National Consumer Panel

 In anticipation of his upcoming conference presentation, Using Predictive Analytics to Optimize Organizational KPI’s: A Panel Market Research Case Study at Predictive Analytics World Chicago, June 20-23, 2016, we asked Thomas Schleicher, Sr. Director, Measurement Science at...

Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Gary Neights at Elemica

 In anticipation of his upcoming Predictive Analytics World for Manufacturing conference presentation, Analytics in Manufacturing Supply Chains – Predicting Behavior In Chemical Industry Supply Chains, we interviewed Gary Neights, Senior Director at Elemica. View the Q-and-A below for a glimpse of...

Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Jeffrey Banks at The Applied Research Laboratory at The Pennsylvania State University

 In anticipation of his upcoming Predictive Analytics World for Manufacturing conference presentation, Using Vehicle Digital Bus Data for Predicting Failure of Line Haul Trucks, we interviewed Jeffrey Banks, Department Head, Complex Systems Engineering & Monitoring at The Applied Research Laboratory...

Wise Practitioner – Text Analytics Interview Series: Frédérick Guillot at Co-operators General Insurance Company

 In anticipation of his upcoming conference presentation, Leveraging Hands on Approaches to Identify Actionable Topics in Property Insurance at Text Analytics World Chicago, June 21-22, 2016, we asked Frédérick Guillot, Manager, Research and Innovation at Co-operators General...

Data Science at Stitch Fix

 Over the last couple of years, Stitch Fix has amassed one of the more impressive data science teams around. The team has grown to 65 people, collaborates with all areas of the business, and has a well-respected...

Wise Practitioner – Predictive Analytics Interview Series: Alice Chung at Genentech

 In anticipation of her upcoming conference co-presentation, Utilizing Advanced Analytics to Generate Insights at Predictive Analytics World Chicago, June 20-23, 2016, we asked Alice Chung, Senior Manager at Genentech, a few questions about her work in predictive...

Democratizing Predictive Analytics For Citizen Data Scientists

 In its most recent hype cycle for emerging technologies, Gartner IT +0.31% introduced “citizen data science” and “advanced analytics with self-service delivery.” Both technologies were predicted to reach the “plateau of productivity” in 2 to 5 years...

How Data Science and Behavioral Science Can Work Together

 If you missed this article, originally published a year ago in the Deloitte Review, it’s a unique thought leadership piece well worth the read, exploring the intersection of predictive analytics and behavioral economics and the pursuit of...

Three Critical Definitions You Need Before Building Your First Predictive Model

 Portions excerpted from Chapter 2 of his book Applied Predictive Analytics (Wiley 2014, http://amzn.com/1118727967) Successful predictive modeling is more than identifying the right algorithms. And, even though 60-90% of our time is spend on data preparation before...

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