ML Fundamentals

Dijkstra's Algorithm - Computerphile

The Dreaded 404 - Computerphile

Binary, Hanoi, and Sierpinski, part 2

Binary, Hanoi and Sierpinski, part 1

Vanilla JS todo App

How the Quantum Vacuum Gave Rise to Galaxies

Q&A about Machine Learning with Text (online course)

Learner Story: Pursuing a Midlife Career Change

RAM module build - part 2

The Illusion of Truth

Photorealistic Images from Drawings | Two Minute Papers #80

Handling Non-Numeric Data - Practical Machine Learning Tutorial with Python p.35

Image Colorization With Deep Learning and Classification | Two Minute Papers #71

Build a Movie Recommender - Machine Learning for Hackers #4

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

Coursera Learner Story: Fighting Sexual Abuse With Social Psychology

Finding Optimal Paths - Dynamic Programming

Sillyfish

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

CS231n Winter 2016: Lecture 11: ConvNets in practice

Games as Medicine - Computerphile

Sega Game Coding in Assembly - Computerphile

Bicubic Interpolation - Computerphile

Sorting Secret - Computerphile

Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra

Change of basis | Chapter 13, Essence of linear algebra

Deep Dream (Google) - Computerphile

Inverse matrices, column space and null space | Chapter 7, Essence of linear algebra

FPS & Digital Video - Computerphile

Retro Computer Kit - Computerphile

How to Choose a Password - Computerphile

Password Cracking - Computerphile

HTML IS a Programming Language (Imperative vs Declarative) - Computerphile

Nascom 2 & Sharing the TV - Computerphile

Cookie Stealing - Computerphile

Anti-Counterfeiting & Conductive Inks - Computerphile

EXTRA BITS: SGML HTML XML - Computerphile

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

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

AI's Game Playing Challenge - Computerphile

Secure Web Browsing - Computerphile

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

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

CS231n Winter 2016: Lecture 9: Visualization, Deep Dream, Neural Style, Adversarial Examples

Breaking Deep Learning Systems With Adversarial Examples | Two Minute Papers #43

CS231n Winter 2016: Lecture 8: Localization and Detection

CS231n Winter 2016: Lecture 7: Convolutional Neural Networks

CS231n Winter 2016: Lecture 5: Neural Networks Part 2