how can I learn Machine Learning for Astronomical use? [D]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
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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