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...
SHARE THIS:

4 years ago
Wise Practitioner – Predictive Analytics Interview Series: Rohit Kewalramani at KPIT Technologies

 By: Steven Ramirez, Conference Chair, Predictive Analytics World for Industry 4.0 In anticipation of his upcoming conference presentation at Predictive Analytics World for Industry 4.0 May 31-June 4, 2020, we asked Rohit Kewalramani, Data Scientist at KPIT Technologies, a few questions about their deployment of predictive analytics. Catch a glimpse of his presentation, How to Eliminate Jittery Sensory Noise using AutoEncoders, and see what’s in store at the PAW Industry 4.0 conference in Las Vegas#session79661 Q: What are the challenges in translating the lessons of predictive analytics from other verticals into manufacturing? A: There are plenty of challenges

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.