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Mathematics and Programming for Machine Learning with R: From the Ground Up by William B. Claster (Hardcover, 2020)

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The first eight chapters deal with probability-based machine learning algorithms, and the last eight chapters deal with machine learning based on artificial neural networks. The first half of the book does not require mathematical sophistication, although familiarity with probability and statistics would be helpful.