I second this as well! ITILA is not just outstanding but offers a timeless perspective to statistical and uncertainty modeling, not to mention information theory which is often understudied in this field (including by myself).
As the parent poster says, this field moves fast but this book will give a solid grounding.
Even though the treatment on neural networks is short, the beginning chapters are worthwhile. The chapter one random variables and probability is one of the best introductions to probabilistic modeling which I’ve seen.
As the parent poster says, this field moves fast but this book will give a solid grounding.
Even though the treatment on neural networks is short, the beginning chapters are worthwhile. The chapter one random variables and probability is one of the best introductions to probabilistic modeling which I’ve seen.