Just created a cheat sheet about Support Vector Machines

A lot of the machine learning stuff is math related, so there is no running away from it. But I think the books introduction to machine learning with python and hands-on machine learning with scikit-learn and tensorflow are a good introduction to the subject without getting into the math.

Other than that, there are the repositories on GitHub with examples like Hvass-Labs/Tensorflow-Tutorials, which also has YouTube videos explaining it, or MorvanZhou/PyTorch-Tutorial.

I think you can do useful stuff without learning the math, but you'll need to learn it after a while.

Also most of the machine learning models (that I know of) are just a complex mathematical function that adapts to data.

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