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What is it? This is a list of resources you need to learn the Math of Machine Learning. How to use it I have divided the resources into categories. Why Mathematics is important in Machine Learning? Mathematics of Machine Learning Watch this video where Siraj Raval explains the big 4 math disciplines that make up Machine Learning. The High Schoolers Guide to the Math of Intelligence: This list is meant to serve both High Schoolers and those who feel their math is a bit rusty. This is a systematic approach to learning the Math required for Machine Learning. Prerequisite Knowledge:   Learn Algebra   Algebra I - Khan Academy   Algebra II - Khan Academy Linear Algebra: Books:   The Manga Guide to Linear Algebra : Probably the best book to start Linear Algebra with. The Manga style makes the material easy to leaf through and learn in a quick and enjoyable way.   Introduction to Linear Algebra - Gilbert Strang : This book is much more detailed as compared

A Gopher's Reading List Here is a reading list of blog posts about Go. It aspires to include only the most useful and relevant material that anyone writing Go should eventually read. By defintion, the list is a work in progress. Rather than being comprehensive, the list is a curated selection fixed at 200 entries. Go is growing fast and so are the number of blog posts about it. If an interested reader sees a glaring omission, please open a pull request with your suggestion of what to add as well as what post to remove from the list. Start Here Go Koans A Tour of Go Frequently Asked Questions Go by Example Go Bootcamp Beginner Some basics Slice Tricks 5 Tips for Using Strings in Go Struct, Map, Array and Slice Understand Go pointers in less than 800 words or your money back | Dave Cheney Tutorial: Go (Golang) Pointers in 5 Minutes | Giant Flying Saucer Pointers Golang channels tutorial | Alexander Guz's blog (Now You're) Thinking With Channels C