Machine Learning Times
Machine Learning Times
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Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
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,...
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1 year ago
AI and ML in Health Care: A Brief Review

 Of the many disciplines that are active users of machine learning and artificial intelligence, perhaps the most significant contributions and most meaningful impacts can be made in the health care industry. In addition to the potential improvement in overall human health, the vast availability of data provides for a rich reservoir to mine.  Big pharma, with their associated research and development activities, has resulted in expansive data bases. Insurance companies have organized their patient files. Physicians are recording patient histories. And hospitals are finally maintaining a plethora  of records, as well. Like all industries, cost savings, revenue enhancements,

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