The Wednesday Wellness threads are meant to encourage users to ask for and provide advice and motivation to improve their lives. It isn't intended as a 'containment thread' and any content which could go here could instead be posted in its own thread. You could post:
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Requests for advice and / or encouragement. On basically any topic and for any scale of problem.
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Updates to let us know how you are doing. This provides valuable feedback on past advice / encouragement and will hopefully make people feel a little more motivated to follow through. If you want to be reminded to post your update, see the post titled 'update reminders', below.
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Advice. This can be in response to a request for advice or just something that you think could be generally useful for many people here.
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Encouragement. Probably best directed at specific users, but if you feel like just encouraging people in general I don't think anyone is going to object. I don't think I really need to say this, but just to be clear; encouragement should have a generally positive tone and not shame people (if people feel that shame might be an effective tool for motivating people, please discuss this so we can form a group consensus on how to use it rather than just trying it).
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I'm not particularly qualified to answer but my opinion is that if you want to understand programming functions in their relation to ML, the best way would be to quickly get to creating ML artifacts. This means
learning python, we have tons of people here who've already commented on that. Introduction to Computation and Programming Using Python might be the best textbook now. Read in parallel with solving problems on Codewars.
listening to Karpathy's course Neural Networks: Zero to Hero and going through minGPT repo (or nanoGPT). His guide on building an LLM from scratch is probably the greatest single piece of education on Youtube (excepting, like, 10000 lectures of random Indians).
Fleuret's little book also covers the mathematical concepts behind those functions.
Thank you for this.
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Thank you!
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