my apologies it wasn't up to your standards. In fairness to me, that line is exactly what my effort was. I wasn't trying to "learn ML" I am trying to build a mental model that let's me decompose real problem into ML primitives.

It's unclear to me if you think the resource has no value or if it bother you that I wrote it using a coding agent.

I wrote the syllabus and worked through each section. Where my understanding was weak I explored the space, pulled in research, referred the model to other sources, and just generally tried to ground the topic in something I understood.

What resulted was something that helped a lot of subjects click together for me. Especially when to reach for a particular activation function and the section on gating.

This enter survey was motivated by an ML expirent I ran with assosicative memories that just failed horribly. So rather than post mortem that I set about understanding why it failed.

Anyhow, thank you for the feedback. I submitted this in good faith that it may help others.

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2sb 11 hours ago | parent [-]

“Decompose a real problem into ML primitives” What does this actually mean? Be careful of AI hallucinations they are dangerous.

	▲	jmatthews 8 hours ago \| parent [-]
		I'll give a software example because I'm just better at it, but if you describe Trello and tell me to decompose it on a white board I start thinking in terms of queues and write\|edit\|save tuples. I don't have to invent queues in my head and I have to wonder if it is possible to proactively assign a series of tranforms or schedules on an fresh input. I know how to do it and it's all internalized. Even if I've never needed to do it. that's the toolbox I'm trying to develop in ML. For example. I've studies LSTM and implemented one. What I didn't know was if gating was turing complete and essentially unbound. I didn't know if gates could be arbitrarily complex. Importantly I had no idea how to translate "I need a switch here" to a gate, or if a switch was even possible given the need to be differentiable for backprop.