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It depends on what your goals are. If you'd like to become an ML Engineer or Data Scientist, Tensorflow should be last thing you learn. First, develop a solid foundation in linear algebra and statistics. Then, familiarize yourself with a nice ML toolkit like Scikit-Learn and The Elements of Statistical Learning (which is free online). The rest is a distraction.

In addition to the linear algebra and statistics MOOCS mentioned, I'll also add:

* No bullshit guide to Linear Algebra: https://gumroad.com/l/noBSLA

* Statistical Models: Theory and Practice: https://www.amazon.com/Statistical-Models-Practice-David-Fre...

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