Machine Learning Times
Machine Learning Times
BizML: Bridging the Gap Between Data Science and Business
  Eric Siegel, author of The AI Playbook, was...
The AI Hype Cycle Is Distracting Companies
 Originally published in Harvard Business Review. Machine learning has...
HR Analytics: Measuring Acquisition, Retention & Satisfaction
 Your firm is growing rapidly, and to maintain pace,...
To Avoid Wasting Money on Artificial Intelligence, Business Leaders Need More AI Acumen
 Originally published in Analytics Magazine, July 19, 2023. Business...

5 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

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