Machine Learning Times
Machine Learning Times
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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...
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4 years ago
Wise Practitioner – Predictive Analytics Interview Series: Jaya Mathew at Microsoft

 By: Steven Ramirez, Conference Chair, Predictive Analytics World for Industry 4.0 In anticipation of her upcoming conference presentation at Predictive Analytics World for Industry 4.0 May 31-June 4, 2020, we asked Jaya Mathew, Senior Data Scientist at Microsoft, a few questions about their deployment of predictive analytics. Catch a glimpse of her presentation, Getting the Most out of Your IoT Data: Basics of Predictive Maintenance, Bootstrapping your Model with Your Data & Comparing the Traditional vs Deep Learning Methodologies, and see what’s in store at the PAW Industry 4.0 conference in Las Vegas Q: What are the challenges in translating the

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