Found an awesome resource for everyone who wants to improve their math skills for deep learning — this section

No fluff, just what you need to work in ML. Mathematical analysis, linear algebra, probability theory — all in a convenient format and immediately with code

A nice bonus: you can choose the dialect in which examples are shown (PyTorch, Keras, or MXNET).

By the way, the other chapters are just as worthy 🤓

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🤖 Data Science, ML & Big Data with @DataXplore