What does “most explicit ways” mean? Do you mean in the most straightforward language possible, with as much jargon as possible removed? Do you mean extremely p

What does “most explicit ways” mean? Do you mean in the most straightforward language possible, with as much jargon as possible removed? Do you mean extremely patient exposition? Do you mean a first principles approach that builds advanced probability theory, linear algebra and statistics from set theory, then dives into machine learning? Murphy’s Machine Learning: A Probabilistic Perspective is just over 1000 pages long. It’s an exceptionally good book for the mathematical theory behind machine learning. What would this book look like under your proposal? If we add in Axler’s Linear Algebra Done Right and Chung’s A First Course in Probability Theory, we’re adding another 350 pages or so each. Both of those books have prerequisites, and Murphy’s book isn’t the top either. In my opinion your proposal is unrealistic, yes. I don’t mean for that to sound harsh, I just don’t see a way to achieve what you’re asking for without making a monolithic tome larger than Knuth’s The Art of Computer Programming, and potentially even more diverse in scope.