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Please stop trying to trick us into reading AI generated text. "This isn't a textbook or a tutorial. It's a mental model — the abstractions you need to reason about ML systems the way you already reason about software systems."
Feature request for HN, Adblocker, etc: please block pages with the text “it isn’t X, it is Y”.
Feature request for HN, Adblocker, etc: please block pages with the text “it isn’t X, it is Y”.
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.
Please stop trying to trick us into reading AI generated text. "This isn't a textbook or a tutorial. It's a mental model — the abstractions you need to reason about ML systems the way you already reason about software systems."
If you think you can generate this artifact with a prompt then show me. This was 2 days of exploration and research.
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.
Please stop trying to trick us into reading AI generated text. "This isn't a textbook or a tutorial. It's a mental model — the abstractions you need to reason about ML systems the way you already reason about software systems."
It's not a trick bud. The github page shows my user name and Claude. The content is intended to be read by an AI agent and explored through a text interface. That is explicit in the readme and the primer itself. If you think you can generate this artifact with a prompt then show me. This was 2 days of exploration and research.
Please stop trying to trick us into reading AI generated text. "This isn't a textbook or a tutorial. It's a mental model — the abstractions you need to reason about ML systems the way you already reason about software systems."
It's not a trick bud. The github page shows my user name and Claude. The content is intended to be read by an AI agent and explored through a text interface. That is explicit in the readme and the primer itself. If you think you can generate this artifact with a prompt then show me. This was 2 days of exploration and research.
Feature request for HN, Adblocker, etc: please block pages with the text “it isn’t X, it is Y”.
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…
Feature request for HN, Adblocker, etc: please block pages with the text “it isn’t X, it is Y”.
Should we also block pages that contain no spelling errors or no grammatical errors?
Earlier quoted context omitted.
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…
“Decompose a real problem into ML primitives” What does this actually mean? Be careful of AI hallucinations they are dangerous.
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.