There is No Spoon. A software engineers primer for demystified ML

https://github.com/dreddnafious/thereisnospoon

GitHub - dreddnafious/thereisnospoon: A machine learning primer built from first principles. For engineers who want to reason about ML systems the way they reason about software systems.

A machine learning primer built from first principles. For engineers who want to reason about ML systems the way they reason about software systems. - dreddnafious/thereisnospoon

GitHub
Just read a good textbook instead of this LLM-written stuff. For example those by Murphy or Prince or Bishop. Or one of many YouTube lecture series from MIT or Stanford. There are many primer 101 tutorials and Medium posts. But if you actually want to learn instead of procrastinating, pick up a real textbook or work through a course.

I've bounced off of many good textbooks. Even Karpathy's YouTube series was too dense for me. I'm trying to come in at a more palatable level.

This was a two day exploration where I provided the syllabus and ran through it with Claude Code, asking questions, trying to anchor it to stuff I understand well. I feel like the artifact has value.

I think chatting with an llm alongside a textbook can be helpful but producing learning material when you yourself are a novice is not really that valuable.
Yes, and it is borderline irresponsible to even make this.
It's AI slop. You're letting a machine gaslight you.
Or just train some NNs. If more time write the code and understand the tensor operations.