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Intro - The Math of Intelligence

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Published on Jun 16, 2017

Welcome to The Math of Intelligence! In this 3 month course, we'll cover the most fundamental math concepts in Machine Learning. In this first lesson, we'll go over a very popular optimization technique called gradient descent to help us predict how many calories a cyclist would burn given just their distance traveled. We'll also follow the story of 2 data scientists as they attempt to find the Higgs-Boson (God particle) via anomaly detection. No collaborations, this is an independent course.

Code for this video (with challenge details):
https://github.com/llSourcell/Intro_t...

TypicalHog's winning code:
https://github.com/TypicalHog/THCrypt

Syllabus for this course:
https://github.com/llSourcell/The_Mat...

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More learning resources:
http://machinelearningmastery.com/lin...
https://spin.atomicobject.com/2014/06...
https://www.coursera.org/learn/machin...
http://cs229.stanford.edu/notes/cs229...
http://blog.hackerearth.com/gradient-...
https://www.r-bloggers.com/linear-reg...
https://www.youtube.com/watch?v=XdM6E...

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