Snarky(?) pure math explanation of supervised machine learning:
Grid Search no more!
Here is a very nice illustration from Bergstra & Bengio (2012) why Random Search is often superior to Grid Search for purposes of parameter choice -- Random Search gives by far the better approximations to the important univariate parameter distributions.
Also I'm really new to Mastadon and am definitely kinda confused. Any advice is appreciated!
Hello! I see everyone doing one, so here's my #introduction
I'm a Data Analyst working at a smallish health center. I have a masters in #publichealth and another in #philosophy . Most of my work in philosophy was on process philosophy & A.N. Whitehead, and most of my work in public health is on #dataanalysis and #substanceabuse , specifically #opioid use.
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