Great choices and these are in my virtual bookshelf.
O’Reilly: Data Science from Scratch with Python (I used for my UCLA Extension: Intro. To Data Science). Note the book's GitHUb repository has code in Python 3 too. Enjoy re-reading it.
Springer: Introduction to Statistical Learning (I used for my UCLA Extension: ML in R ).
Great dataset and well written on statistics information that helped me with revision/refresher.
Deep Learning by Goodfellow, Bengio et al. ( Recommended as an optional text for my current UCSD Extension: Deep Learning With TensorFlow & Keras ).
Thanks for posting. :-)
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Great choices and these are in my virtual bookshelf.
O’Reilly: Data Science from Scratch with Python (I used for my UCLA Extension: Intro. To Data Science). Note the book's GitHUb repository has code in Python 3 too. Enjoy re-reading it.
Springer: Introduction to Statistical Learning (I used for my UCLA Extension: ML in R ).
Great dataset and well written on statistics information that helped me with revision/refresher.
Deep Learning by Goodfellow, Bengio et al. ( Recommended as an optional text for my current UCSD Extension: Deep Learning With TensorFlow & Keras ).
Thanks for posting. :-)