if you have no mathematical background at all this isn’t the book for you i think. that is not really advanced mathematics although a little notationally dense.

there are many good materials such as the fantastic fast.ai course that don’t require such mathematical background.

if you are motivated to learn about ML, then studying the topic can gradually be a route in to more mathematical knowledge so that equations like this would not seem intimidating.

Yeah but on the other hand, this is a pretty useless way to give intuition on a concept as simple as mean squared error.

all I am saying is every deep learning book I have ever opened is filled with mathematical stuff like this. I want to learn the mathematics for it but I need a starting point. Isnt there atleast one book in the entire world written with this in mind?

"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.

I tried to look at your screenshot and holy hell what happened to imgur? That site used to be great for sharing images. Now it is enshittified to the max. I couldn’t even zoom in to look at the equations without some random animated GIFs popping up over the entire screen. I even use an ad blocker!

Make the robot overlords work for you. ChatGPT 4's data analysis plugin takes a pretty impressive stab at explaining it:

https://i.imgur.com/DCAnoCu.png

It will also make an attempt at turning the expressions into Python. It bombed out at first but caught itself and retried without any additional prompting:

https://i.imgur.com/nzywKkb.png

Not being familiar with SymPy, though, and not having time to think it through myself, this might be a bunch of hallucinated gobbledygook. Caveat lector.

as a guy not familiar with this math, i am not sure if i should rely on Chat GPT or not. I use GPT only for tasks I am familiar with

You definitely shouldn't rely on it.

But you should use it.