WebJul 31, 2024 · You'll need supplementary texts such as BRML (Bayesian Reasoning and Machine Learning; Barber) and Information Theory, Inference, and Learning Algorithms; MacKay), for example. Both of these books are freely distributed in electronic format by their authors. Pattern Recognition and Machine Learning (Bishop) is also a great book. Web-- Chris Bishop , Microsoft Research. "This book is a clear, concise, and rigorous introduction to the foundations of machine learning. It beautifully bridges between the "traditional" topics and the more "modern" deep learning methods, creating a unifying framework that contextualizes both of them.

Model-Based Machine Learning (Early Access): an online book

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machine learning - Pattern Recognition and ML Exercise 1.4

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