Machine Learning Times
Machine Learning Times
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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...
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8 years ago
Connecting the Experts with the Data Scientists

 “Can Machines Think?” was the cover of Time magazine a generation ago. The impetus was a face-off between world chess champion Gary Kasparov and IBM’s “Deep Blue” chess machine. The first match was won by us humans, but algorithms and hardware won out in the end. The spectacle occasioned wild speculation. “Of course computers can think, after all, humans are just computers made of meat!” said an MIT Computer Science professor. How can anyone who works with both humans and computers, believe that? My colleague, Dr. John Elder, likes to say “He’s from MIT; maybe he’s never worked

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