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:

7 years ago
Wise Practitioner – Predictive Analytics Interview Series: Ashish Bansal and John Schlerf from Capital One

 In anticipation of their upcoming conference co-presentation, The Quest for Labeled Data:  Integrating Human Steps, at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Ashish Bansal, Senior Director, Data Science and John Schlerf, Data Scientist at Capital One, a few questions about their work in predictive analytics. Q: In your work with predictive analytics, what behavior or outcome do your models predict? A: These models are used to match credit card transactions to augmented merchant data to improve readability of online credit card statements. Q: How does predictive analytics deliver value for your customers – what is one specific

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.