Hello Julians, need an advice on several topics, please.
(1) A starting point from the scratch into AI (ML example: not fit/predict/dashboard, but rather scientifical way) is Calculus, Linear Algebra and Probability Theory. Is this statement correct?
(2) If (1) is true, next question is about proper literature. I assumed (1) was true and already did some investigation and found next books which looked like “the right ones”:
Calculus - Thomas’ Calculus: Early Transcendentals,15/e, 15th edition Joel R. Hass, Christopher E. Heil, Maurice D. Weir, Przemyslaw Bogacki
Linear Algebra - Linear Algebra and its Applications, 6th edition, David C. Lay, Judi J. McDonald, Steven R. Lay
Probability Theory - Introduction-Probability-Data-Science-Stanley/dp/1607857464/](Amazon.com)
The question is if scientific community knows ‘better texts’ (in quotes, because of course there is no best book, but, for example, there is a B. Stroustrup for C++ and others, I mean this), especially related to JuliaLang (mine calculus and linalg books have practical parts designed for Maple)?
(3) AIMA. Is presented as a ‘big book about all AI topics’. Question is how can you rank this text in terms of a ‘starting point from scratch’ ?
Thanks in advance.