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"Dive Into Deep Learning" may be good in that it usually has code alongside any mathematical notation: https://d2l.ai/index.html

I have not actually looked at it in detail, but the legendary Gilbert Strang, in addition to his classic linear algebra course, also has a course that aims to teach enough linear algebra to explain deep learning called "Linear Algebra and Learning From Data". Maybe this is also helpful.

This is because the authors aren’t trying to teach you anything. They are trying to show how smart they are and make a name for themselves with their peers. They could care less whether you learn. Almost no one doing deep learning will learn much from this.

There is a gradual introduction: Deep Learning for Programmers (https://aiprobook.com/deep-learning-for-programmers/)

A Hands-On Introduction to Machine Learning by Chirag Shah is a great starting point IMO.