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Learn Machine Learning first. Andrew Ng's course is great. Then learn Deep Learning through Andrew NG's course on Coursera.

Then go through fast.ai for practical projects.

Learn PyTorch well. There are many books around. I like the one from Manning and the one by Sebastian Raschka.

Then chart your own path from there.

Many people "learned Math" in college, but these were actually mostly mindless following of algorithms to solve problems by hand. If you want proper refreshers, go through ICL's Mathematics for Machine Learning Specialization on Coursera or 3blue1brown's series on Linear Algebra and Calculus.



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