Machine learning develops computational methods whose behaviour is learned from data. Statistical learning supplies methods for reasoning about prediction, uncertainty and generalization.
The main reason Ciro Santilli never touched it is that it feels that every public data set has already been fully mined or has already had the most interesting algorithms developed for it, so you can't do much outside of big companies.
This is why Ciro started Ciro's 2D reinforcement learning games to generate synthetic data and thus reduce the cost of data.
The other reason is that it is ugly.
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