To put it simply, machine learning has too many books and too little time, so the question is never "which book is best" but "which book is best for the job I have right now." These five are the ones
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Thank you, this made my morning. "A sequencing problem, not a lack of ability" is exactly it. That wall of maths on page twelve has stopped more good learners than any hard concept ever will. The order you read them in is half the learning. Out of curiosity, which one did you start with yourself?
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Framing each book by the job it does is what makes this list useful — Burkov as the map, Geron as the building, and Ng's Yearning as judgment once models exist. Your thickest-book paperweight story rings true: hitting a wall of maths by page twelve is usually a sequencing problem, not a lack of ability. I also like that Bishop is positioned as a shelf reference for years rather than a book to finish in one pass.