Machine Learning Times
Machine Learning Times
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How to Apply Machine Learning to Business Problems
 Originally published in Emerj, April 25, 2020. It’s easy...
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...
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5 years ago
The Big Picture: Today’s Data Analytics Stack

 

Enterprises are inundated with data from social, mobile, IoT and other technologies. The pace of the data flow is only accelerating. Over 300 hours of videos are uploaded on YouTube every minute, and this has grown from 100 hours every minute in 2013. Facebook users watch the equivalent of 750 years of video every day. Over 500 million tweets are generated on Twitter every day. The volume of digital data is doubling every 2 to 3 years, and is expected to reach about 40 trillion gigabytes by 2020. The total no. of ‘things’ that are connected/connectable, is expected to hit the 200 billion mark by 2020.

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