Looking for Recommended Texts to Complement Supervised Machine Learning Course

Course Q&A Machine Learning Specialization Supervised ML: Regression and Classification
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Apart from all the recommended text. I personally use the following resources.

  1. Machine Learning with PyTorch and Scikit-Learn by Sebastian Raschka, Yuxi and Vahis. (To go deeper into the practical aspect)

  2. Mathematics for Machine Learning by Marc Peter, Cheng Soon Ong and Also Faisai (To go deeper into the mathematics)

  3. The PML Introduction book by Kelvin Murphy (A tough book to read that go into the mathematical aspect of Machine Learning and DeepLearning). Need a strong foundation in Maths.

  4. Take Andrew Ng DeepLearning Specialization as a follow up.

Have fun

Regards

Alan