AI & ML Now: Foundations That Still Matter

“A practical modern baseline for moving from Python to real ML and deep-learning workflows.”

“A newer deep-learning text that covers modern topics such as transformers and diffusion while staying readable.”

“A rigorous but current probabilistic view of ML, useful for readers who need more than cookbook fluency.”

“A compact math foundation covering linear algebra, calculus, optimization, probability, and statistics for ML.”