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...
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4 years ago
Machine Learning and Artificial Intelligence: Not New Concepts for the Data Science Practitioner

 Economic disruption is a reality which has been a gradual development over the last several decades. Artificial intelligence (AI) has simply accelerated this process.  Virtually every industry has been impacted by AI and certainly data science is no exception. Yet, we may also inquire how does machine learning fit within this overall discussion. The explosion of literature on these topics over the last several years is a testament to the popularity of both topics. As a practitioner of data science over the last thirty years, it is easy to become cynical on these topics especially when many of

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