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

Twelve Hot Deep Learning Applications Featured at Deep Learning World

  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.   Deep learning is white hot – both in buzz and in actual value. This recently-proven collection of advanced neural network methods scales machine learning to a new level of capabilities – namely,

New Book: Stephen Few’s “Big Data, Big Dupe” Smackdown

 Five years ago, in 2013, two emerging advocates for Big Data raised its public profile to the highest level it had enjoyed by then, and possibly since. They punched through the oblivion of anyone who needed to...

Wise Practitioner – Predictive Analytics Interview Series: Arjun Panesar at Diabetes Digital Media

 In anticipation of his upcoming conference presentation at Predictive Analytics World for Healthcare Las Vegas, June 3-7, 2-18, we asked Arjun Panesar, Founder and CEO at Diabetes Digital Media, a few questions about incorporating predictive analytics into healthcare....

Wise Practitioner – Deep Learning World Interview Series: Abbas Chokor at Seagate Technology

 In anticipation of his upcoming conference co-presentation, CNNs:  A Game Changer for Manufacturing?, at Deep Learning World in Las Vegas, June 3-7, 2018, we asked Abbas Chokor, Staff Data Scientist at Seagate Technology, a few questions about...

Wise Practitioner – Predictive Analytics Interview Series: Haig R. Nalbantian at Mercer

 In anticipation of his upcoming conference co-presentation, What Millennial Employees Actually Value: Lessons from Predictive Modeling, at Predictive Analytics World for Business Las Vegas, June 3-7, 2018, we asked Haig R. Nalbantian, Senior Partner, Co-leader Mercer Workforce...

Credit Models are Winning and I’m Keeping Score!

 Classification scorecards are a great way to predict things because the techniques used in the banking industry specialize in interpretability, predictive power, and ease of deployment. The banking industry has long used credit scoring to determine credit...

Wise Practitioner – Predictive Analytics Interview Series: Richard Boire at Environics Analytics

 In anticipation of his upcoming conference presentation, What it Means to the Data Scientist as Financial Services Faces Disruptive Times, at Predictive Analytics World for Financial in Las Vegas, June 3-7, 2018, we asked Richard Boire, Senior...

Wise Practitioner – Deep Learning World Interview Series: James McCaffrey at Microsoft

 In anticipation of his upcoming conference presentation, LSTM Neural Networks for Time Series Analysis at Deep Learning World in Las Vegas, June 3-7, 2018, we asked James McCaffrey, Senior Scientist Engineer at Microsoft, a few questions about...

Justice Can’t Be Colorblind: How to Fight Bias with Predictive Policing

 Originally published by Scientific American Predictive policing uncovers racial inequity, which it threatens to perpetuate – but, if we turn things around, it also presents an unprecedented opportunity to advance social justice. Law enforcement’s use of predictive...

Wise Practitioner – Predictive Analytics Interview Series: Matt Hayes and Rebecca Guess at Baptist Health Medical Group

 In anticipation of their upcoming conference co-presentation, Improving Employee Engagement on a Shoestring Budget at Predictive Analytics World for Business Las Vegas, June 3-7, 2018, we asked Matt Hayes, Director, Practice Optimization and Rebecca Guess, Quality Analyst,...

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