Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...
How To Overcome The Confidence-Killer That Destroys Most Predictive AI Projects
  Originally published in Forbes When Henry Castellanos first presented...
You Must Address These 4 Concerns To Deploy Predictive AI
 Originally published in Forbes Most predictive AI projects fail to launch into production. The...
Hybrid AI: Industry Event Signals Emerging Hot Trend
 Originally published in Forbes After decades chairing and keynoting myriad...
SHARE THIS:

6 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

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.