Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Explainable Machine Learning, Model Transparency, and the Right to Explanation
 Check out this topical video from Predictive Analytics World...
Guidebook to the Future of Data Science: How to Navigate the Increasingly Symbiotic Dynamic Between Executives and Universities
 Book Review of Closing the Analytics Talent Gap: An...
Guilty or Not Guilty: Weight of Evidence
 You have been invited to serve as a juror...
How Machine Learning Works for Social Good
  Originally published in KDnuggets, Nov 2020. This article...
SHARE THIS:

6 years ago
Video: Python for Data Science

 

This speaker session is from Predictive Analytics World for Business, October, 5–9, 2014 in Boston, MA:

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.

 Field is a senior data scientist at Think Big Analytics where he consults with clients on a range of verticals. He believes that good-quality software is critical for a successful, low-stress data science project. Field graduated from Stanford University with a BS in Physics and Mathematics, and received an MS in Applied Mathematics from the Univsersity of Washington and an MS in Computer Science from Carnegie Mellon University.

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.