From 60f8e7ee678b593ed6847ddd1969a20e673b2f66 Mon Sep 17 00:00:00 2001 From: Chakib Benziane Date: Fri, 23 Dec 2016 16:54:32 +0100 Subject: [PATCH] Update README.md --- README.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/README.md b/README.md index 9aba9c2..e7ff333 100644 --- a/README.md +++ b/README.md @@ -133,7 +133,12 @@ Each day I take one subject from the list below, read it cover to cover, take no # Motivation - [x] [Dream](https://www.youtube.com/watch?v=g-jwWYX7Jlo) +## Math Fundamentals +- [ ] [Coding the Matrix](http://codingthematrix.com) [torrent](http://academictorrents.com/details/54cd86f3038dfd446b037891406ba4e0b1200d5a) +- [ ] Coursera introduction to statistics 101 + ## Machine learning overview +- [ ] [Visual Interactive Guide To Basics - Neural Networks](https://jalammar.github.io/visual-interactive-guide-basics-neural-networks/) - [x] [A Visual Introduction to Machine Learning](http://www.r2d3.us/visual-intro-to-machine-learning-part-1/) - [ ] [A Gentle Guide to Machine Learning](https://blog.monkeylearn.com/a-gentle-guide-to-machine-learning/) - [ ] [Machine Learning basics for a newbie](https://www.analyticsvidhya.com/blog/2015/06/machine-learning-basics/) @@ -249,6 +254,7 @@ Each day I take one subject from the list below, read it cover to cover, take no - [ ] [16 New Must Watch Tutorials, Courses on Machine Learning](https://www.analyticsvidhya.com/blog/2016/10/16-new-must-watch-tutorials-courses-on-machine-learning/) ## MOOC +- [ ] [Practical Deep Learning For Coders, Part 1](http://course.fast.ai) - [ ] [Udacity’s Intro to Machine Learning](https://www.udacity.com/course/intro-to-machine-learning--ud120) - [Udacity Intro to Machine Learning Review](http://hamelg.blogspot.com/2014/12/udacity-intro-to-machine-learning-review.html) - [ ] [Udacity’s Supervised, Unsupervised & Reinforcement](https://www.udacity.com/course/machine-learning--ud262)