Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Quant’s Dilemma: Subjectivity In Predictive AI’s Value
 Originally published in Forbes, September 30, 2024 This is the...
To Deploy Predictive AI, You Must Navigate These Tradeoffs
 Originally published in Forbes, August 27, 2024 This is the...
Data Analytics in Higher Education
 Universities confront many of the same marketing challenges as...
How Generative AI Helps Predictive AI
 Originally published in Forbes, August 21, 2024 This is the...
SHARE THIS:

6 years ago
The Data Scientist: Specialist or Generalist

 By: Richard Boire, Senior Vice President, Environics Analytics For more from this writer, Richard Boire, see his session, “Demystifying Machine Learning-An Historical Perspective of What is New vs. Not New” at PAW Industry 4.0, June 19, 2019, in Las Vegas, part of Mega-PAW. As a practitioner with over 30 years of experience in the field, the discipline of data science has evolved dramatically. As I have discussed at length in previous articles and in my book, the approach and process in conducting data science exercises has not changed. Yet technology has transformed the discipline in that many tasks

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.