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Just recently I have written a "Machine Learning for Web Developers in JavaScript" blog post [0]. If you are a web developer, it might be interesting for you. It outlines my approach of learning it and gives a couple of great resources for JavaScript enthusiasts. Otherwise, I will just post a couple of the materials I used below. It's not only video courses, because I believe it's always useful to stimulate all senses.

- [0] https://www.robinwieruch.de/machine-learning-javascript-web-...

Podcast:

- http://ocdevel.com/podcasts/machine-learning

Courses:

- https://www.coursera.org/learn/machine-learning

- https://de.udacity.com/course/machine-learning-engineer-nano...

- https://www.coursera.org/specializations/deep-learning

- http://course.fast.ai/

Books:

- https://www.amazon.com/gp/product/B014X01SS0/

- http://www.deeplearningbook.org/

- http://neuralnetworksanddeeplearning.com/

- https://www.safaribooksonline.com/library/view/deep-learning...

Math:

- http://www.fast.ai/2017/07/17/num-lin-alg/

- https://www.khanacademy.org/math/linear-algebra

- https://www.khanacademy.org/math/statistics-probability

- https://www.khanacademy.org/math/calculus-home

JavaScript ML:

- https://bri.im/

- https://github.com/javascript-machine-learning




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