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I think all serious researchers have implemented core Deep Learning algorithms from scratch. I know I have. There are two books that do exactly this: 1. Deep Learning from Scratch 2. Data Science from Scratch In these books, you implement each part of the ML/DL pipeline, from scratch, in Python. There is also a GitHub project call Minitorch that teaches you the inner workings of a framework like PyTorch. And then the…
How tied are those two books to python? If very much, are there books covering the same content with a different programming language?
I suggest the book Programming Machine Learning. I'm slowly going through the book using another language, and it's easy to translate since the book doesn't use Python's machine learning libraries.