ML Fundamentals

Writing our own K Nearest Neighbors in Code - Practical Machine Learning Tutorial with Python p.17

Crazy Text & Security Printing - Computerphile

Creating Our K Nearest Neighbors Algorithm - Practical Machine Learning with Python p.16

Training Deep Neural Networks With Dropout | Two Minute Papers #62

EXTRA BITS: SGML HTML XML - Computerphile

No Such Thing As Artificial Intelligence | Two Minute Papers #60

“Coursera Is”: Learners Reflect on What Coursera Means to Them

Coursera Learner Story: Fighting Sexual Abuse With Social Psychology

Integrals: Crash Course Physics #3

Derivatives: Crash Course Physics #2

Build a Neural Net in 4 Minutes

Snell's law proof using springs

The Brachistochrone, with Steven Strogatz

How reinforcement learning works in Becca 7

Finding Optimal Paths - Dynamic Programming

Sillyfish

CS231n Winter 2016: Lecture 15: Invited Talk by Jeff Dean

CS231n Winter 2016: Lecture 14: Videos and Unsupervised Learning

How to install Julia on Windows

Euclidean Distance - Practical Machine Learning Tutorial with Python p.15

K Nearest Neighbors Application - Practical Machine Learning Tutorial with Python p.14

Classification w/ K Nearest Neighbors Intro - Practical Machine Learning Tutorial with Python p.13

Testing Assumptions - Practical Machine Learning Tutorial with Python p.12

Programming R Squared - Practical Machine Learning Tutorial with Python p.11

R Squared Theory - Practical Machine Learning Tutorial with Python p.10

Deep Learning - Computerphile

How to program the Best Fit Line - Practical Machine Learning Tutorial with Python p.9

How to program the Best Fit Slope - Practical Machine Learning Tutorial with Python p.8

Regression How it Works - Practical Machine Learning Tutorial with Python p.7

Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6

10 Even Cooler Deep Learning Applications | Two Minute Papers #59

Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5

SGML HTML XML What's the Difference? (Part 1) - Computerphile

Regression Training and Testing - Practical Machine Learning Tutorial with Python p.4

Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3

Regression Intro - Practical Machine Learning Tutorial with Python p.2

Practical Machine Learning Tutorial with Python Intro p.1

From Doodles To Paintings With Deep Learning | Two Minute Papers #57

Overfitting and Regularization For Deep Learning | Two Minute Papers #56

AI's Game Playing Challenge - Computerphile

Secure Web Browsing - Computerphile

AlphaGo & Deep Learning - Computerphile

How DeepMind's AlphaGo Defeated Lee Sedol | Two Minute Papers #53

10 More Cool Deep Learning Applications | Two Minute Papers #52

Deep Learning Program Learns to Paint | Two Minute Papers #49

CS231n Winter 2016: Lecture 12: Deep Learning libraries

CS231n Winter 2016: Lecture 11: ConvNets in practice

CS231n Winter 2016: Lecture 10: Recurrent Neural Networks, Image Captioning, LSTM