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The original was posted on /r/machinelearning by /u/HopeIsGold on 2025-06-01 07:19:05+00:00.

Please mention the niche you work in and in what capacity. If at all possible you can share link to your works.

Now, coming to the question. Assuming that you actively work in machine learning related fields, which books gave you the greatest benefit till now? It can be books from foundational math topics or engineering skills topics also.

I am a second year grad student (topic not yet finalised, mostly something in computer vision).

I am reading Probability Theory by E.T. Jaynes and for programming Structure and Interpretation of Computer Programs by Abelson and Sussman. Both are blowing my mind in a tremendously good way.