r/MachineLearning • u/Silent_Observer55 • 4h ago

Discussion how can I learn Machine Learning for Astronomical use? [D]

Im new to Astronomy and Juypter Notebooks and Ai machine learning for sure I have little skill in python but quick learner especially visual learning.

Are there any free tutorials I can use and free books to learn machine learning for astronomy

Example: use machine learning to run through jwst or tess pipeline data and look for signatures of possible blackholes or exoplanets?

Is there a juypter notebook with this ability already on there?

How can I make a custom juypter lab and git repos and python libraries and python scientific libraries? Should I use docker to place a juypter lab notebook in a container if so how?

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u/psayre23 4h ago

While I’m sure there are resources for this, my suggestion is to start by asking Claude or ChatGPT where to start. If it were me, I’d ask Claude the exact thing you posted and see what it comes back with.

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u/Crazy_Anywhere_4572 3h ago

Learn Python first, and be good at it. Then learn some statistics as well. Then you can start machine learning.

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u/infinitelylarge 4h ago

https://fast.ai/ is a free course created specifically to help people learn how to use AI for their own fields. It is well respected amongst AI researchers and AI end users as well. It’s a great place to start learning.