Machine Learning Times
Machine Learning Times
Visualizing Decision Trees with Pybaobabdt
 Originally published in Towards Data Science, Dec 14, 2021....
Correspondence Analysis: From Raw Data to Visualizing Relationships
 Isn’t it satisfying to find a tool that makes...
Podcast: Four Things the Machine Learning Industry Must Learn from Self-Driving Cars
    Welcome to the next episode of The Machine...
A Refresher on Continuous Versus Discrete Input Variables
 How many times have I heard that the most...

4 years ago
New Book: Stephen Few’s “Big Data, Big Dupe” Smackdown

 Five years ago, in 2013, two emerging advocates for Big Data raised its public profile to the highest level it had enjoyed by then, and possibly since. They punched through the oblivion of anyone who needed to hear about it, but had not been vouchsafed the secret handshakes; and too many who tried to understand it and couldn’t; or who didn’t understand it, but thought they did. The book was sensationally entitled Big Data: A Revolution That Will Transform How We Live, Work, and Think, by Viktor Mayer-Schonberger and Kenneth Cukier (New York, NY: Houghton Mifflin Harcourt). (Hereafter, M-S&C.) It

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