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Module VI: Models
33. Machine learning in betting
What ML can and can’t do, hype vs reality.
← Course overview
Chapter outline
33.1
What it can and can’t do
33.2
Features, choosing the target variable
33.3
Hype vs reality
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32. Calibration
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34. Backtesting