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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5 years ago
Are You Practicing “Bad Data Science” with your Pre-Hire Talent Assessments?

 Talent Analytics uses data gathered from our own proprietary talent assessments as an input variable to predict hiring success – pre-hire.  We treat this dataset just like any other dataset in our predictive work.  We are careful to analyze it for a strong (or weak) correlation to actual job performance. Our theory?  If there is no correlation between data gathered via this method our clients should stop using it.  Continuing without proof of success would be a little like a doctor “knowing” a certain medication doesn’t work for you, but continues to encourage their patients to keep using

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