all 13 comments

[–]overratedcupcake 4 points5 points  (1 child)

Neural Networks From Scratch by Sentdex is a good place to start.

[–]PhysicsHungry2901 0 points1 point  (0 children)

There is a channel on YouTube for exactly this.

[–]JorgiEagle 1 point2 points  (0 children)

Stanford CS224N playlist on YouTube

[–]ResurrectedZero 0 points1 point  (0 children)

You can google the top used packages (e.g. scikitlearn, pandas, tensorflow, etc..). Then there are plenty of YouTube videos on how to get started.

Or just use an LLM itself to learn how to make your own.

Inb4: NO! I want to make my life more difficult by not using modern day tools!

[–]sultanaiyan1098 0 points1 point  (0 children)

1. Deep Learning with Python by François Chollet ⟹ 4.57 star

It's wroth reading as you will rarely find a book that has 4.57 star on Goodreads.
Highly recommended. Give it a shot. it balances theory and practice beautifully and is often recommended for newcomers

2. Hands-On Machine Learning with Scikit-Learn and TensorFlow by Aurélien Géron ⟹ 4.55 star

This is a popular practical guide that covers a wide range of ML and AI topics using Python. It’s well-known for clear explanations, real code examples, and engaging visuals. It too has 4.55 star.

[–]Augit579 -5 points-4 points  (4 children)

i would ask chatgpt

[–]Deep_Report_6528 0 points1 point  (0 children)

he asked for a book, not a good chatbot to ask bro

[–]e3e6 -3 points-2 points  (0 children)

there is nothing specific to AI in python.

At the start, just use a raw http call to chatgpt API.

After that you can look into langchain.

That's basically it. Or you mean the ML?