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If you need a ML book as a teacher, Machine Learning – The art and science of algorithms that make sense of data, is definitely the one you need. It covers most ML algorithms, divided by genre (tree, rule, ensemble, etc.). From a teaching point of view, the book is quite comprehensive. From a practical point of view, some chapters can be skipped as too theoretical. The perspective taken by Peter F
Introduction When it comes to pushing the boundaries of sports equipment design and innovation, there’s a game-changing tool that’s taking the field by storm: […]
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