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@ -30,7 +30,7 @@ Please, feel free to make any contributions you feel will make it better.
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## Table of Contents
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- [What is it?](#what-is-it)
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- [Sides of machine learning?](#why-use-it)
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- [Sides of machine learning?](#sides-of-machine-learning)
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- [Don't feel you aren't smart enough](#dont-feel-you-arent-smart-enough)
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- [About Video Resources](#about-video-resources)
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- [Prerequisite Knowledge](#prerequisite-knowledge)
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@ -98,6 +98,7 @@ Each day I take one subject from the list below, read it cover to cover, take no
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## Math Fundamentals
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- [ ] [Coding the Matrix](http://codingthematrix.com) [torrent](http://academictorrents.com/details/54cd86f3038dfd446b037891406ba4e0b1200d5a)
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- [ ] Coursera introduction to statistics 101
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- [ ] [Linear Algebra essentials (https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab)
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## Machine learning overview
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- [ ] [Visual Interactive Guide To Basics - Neural Networks](https://jalammar.github.io/visual-interactive-guide-basics-neural-networks/)
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