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"hijacking" the post to ask where I can find a good introduction to machine learning and AI. Not how to use this or this library but the fundamentals and princi

"hijacking" the post to ask where I can find a good introduction to machine learning and AI. Not how to use this or this library but the fundamentals and principles behind. Preferably something explaining clearly the principles first then explaining the maths (from the beginning, my maths are quite far now) then showing practical usage/development (in any high level language like python or julia). I do not need to jump straight to the latest algorithms, I prefer starting with building bricks first

Zealotux 4y ago
You might be interested in Andrej Karpathy's intro to GPT https://www.youtube.com/watch?v=kCc8FmEb1nY https://www.youtube.com/watch?v=kCc8FmEb1nY and course https://karpathy.ai/zero-to-hero.html https://karpathy.ai/zero-to-hero.html
auggierose 4y ago
https://karpathy.ai/zero-to-hero.html https://karpathy.ai/zero-to-hero.html https://course.fast.ai https://course.fast.ai
tomduncalf 4y ago
The usual recommendations I think are: Andrew Ng’s Coursera for the fundamentals, Andrej Kaparthy’s videos (https://karpathy.ai/zero-to-hero.html https://karpathy.ai/zero-to-hero.html) for more practical and LLM focussed, and also Fast.ai’s courses. I’ve done some of the first two and they seem great.
Al0neStar 4y ago
I recommend the books by Joe Suzuki https://bayesnet.org/books/ https://bayesnet.org/books/ it teaches all the math and no libray/framework is used. edit: the readers page is not up to date the last books are available.
ngc248 4y ago
Pedro Domingo's CSEP 546 course for the fundamentals https://www.youtube.com/playlist?list=PLTPQEx-31JXgtDaC6-3HxWcp7fq4N8YGr https://www.youtube.com/playlist?list=PLTPQEx-31JXgtDaC6-3Hx...
tommiegannert 4y ago
This was posted on HN a few weeks ago: https://gist.github.com/rain-1/eebd5e5eb2784feecf450324e3341c8d https://gist.github.com/rain-1/eebd5e5eb2784feecf450324e3341... I just started going though it today, so I can't attest to the usefulness.
lysecret 4y ago
ask chatgpt.
Buttons840 4y ago
The Little Learner[0]: Learn the basics using scheme. This is fundamental; no frameworks, just Scheme and functions. From here you can go anywhere. Then watch Neural Networks: Zero to Hero[1] to learn how autograd works, learn a few advance topics, and most importantly, to see what the workflow of an expert looks like. Then read PyTorch tutorials and the PyTorch docs while doing some real projects. If PyTorch starts to feel too rigid, then look into Jax or Julia's Flux library. [0]: https://mitpress.mit.edu/9780262546379/the-little-learner/ https://mitpress.mit.edu/9780262546379/the-little-learner/ [1]: https://karpathy.ai/zero-to-hero.html https://karpathy.ai/zero-to-hero.html
gremlinsinc 4y ago
Karpathy recently tweeted that we don't need more researchers, we need prompt engineers, which goes beyond just writing prompts but actually writing code to make ai agents that carry on multiple tasks, for instance Autogpt is kind of amazing, I think you make something like that and you'd get job offers from ai labs. they're all moving from research to products, meaning they need people to create use cases around their new products.
- poulpy123 4y ago
  I'm just curious and not trying to become an engineer or researcher in ML/AI.

Zealotux 4y ago

You might be interested in Andrej Karpathy's intro to GPT https://www.youtube.com/watch?v=kCc8FmEb1nY https://www.youtube.com/watch?v=kCc8FmEb1nY and course https://karpathy.ai/zero-to-hero.html https://karpathy.ai/zero-to-hero.html

auggierose 4y ago

https://karpathy.ai/zero-to-hero.html https://karpathy.ai/zero-to-hero.html https://course.fast.ai https://course.fast.ai

tomduncalf 4y ago

The usual recommendations I think are: Andrew Ng’s Coursera for the fundamentals, Andrej Kaparthy’s videos (https://karpathy.ai/zero-to-hero.html https://karpathy.ai/zero-to-hero.html) for more practical and LLM focussed, and also Fast.ai’s courses. I’ve done some of the first two and they seem great.

Al0neStar 4y ago

I recommend the books by Joe Suzuki https://bayesnet.org/books/ https://bayesnet.org/books/ it teaches all the math and no libray/framework is used. edit: the readers page is not up to date the last books are available.

ngc248 4y ago

Pedro Domingo's CSEP 546 course for the fundamentals https://www.youtube.com/playlist?list=PLTPQEx-31JXgtDaC6-3HxWcp7fq4N8YGr https://www.youtube.com/playlist?list=PLTPQEx-31JXgtDaC6-3Hx...

tommiegannert 4y ago

This was posted on HN a few weeks ago: https://gist.github.com/rain-1/eebd5e5eb2784feecf450324e3341c8d https://gist.github.com/rain-1/eebd5e5eb2784feecf450324e3341... I just started going though it today, so I can't attest to the usefulness.

lysecret 4y ago

ask chatgpt.

Buttons840 4y ago

The Little Learner[0]: Learn the basics using scheme. This is fundamental; no frameworks, just Scheme and functions. From here you can go anywhere. Then watch Neural Networks: Zero to Hero[1] to learn how autograd works, learn a few advance topics, and most importantly, to see what the workflow of an expert looks like. Then read PyTorch tutorials and the PyTorch docs while doing some real projects. If PyTorch starts to feel too rigid, then look into Jax or Julia's Flux library. [0]: https://mitpress.mit.edu/9780262546379/the-little-learner/ https://mitpress.mit.edu/9780262546379/the-little-learner/ [1]: https://karpathy.ai/zero-to-hero.html https://karpathy.ai/zero-to-hero.html

gremlinsinc 4y ago

Karpathy recently tweeted that we don't need more researchers, we need prompt engineers, which goes beyond just writing prompts but actually writing code to make ai agents that carry on multiple tasks, for instance Autogpt is kind of amazing, I think you make something like that and you'd get job offers from ai labs. they're all moving from research to products, meaning they need people to create use cases around their new products.

poulpy123 4y ago
I'm just curious and not trying to become an engineer or researcher in ML/AI.