ML Fundamentals

[MINI] Dropout

The First Programming Languages: Crash Course Computer Science #11

Stream, FPV, and more data - Python plays GTA p.15

Taylor series | Chapter 11, Essence of calculus

Higher order derivatives | Chapter 10, Essence of calculus

Deep Neural Nets for Visual Recognition with Matt Zeiler - #22

[MINI] Generative Adversarial Networks

Learner story: Earning an MBA while raising a daughter

How Has Learning Changed Your Life?

Semantic Scene Completion From One Depth Image | Two Minute Papers #147

Self driving car neural network in the city - Python plays GTA with Tensor Flow p.14

Selling AI to the Enterprise with Kathryn Hume - #20

A Intro to Clojure and Clojure Syntax

Avoid the Middle-Man (Smart Contracts) - Computerphile

Instructions & Programs: Crash Course Computer Science #8

How to Do Linear Regression using Gradient Descent

Build an 8-bit decimal display for our 8-bit computer

Breaking DeepMind's Game AI System | Two Minute Papers #135

Build an Arduino EEPROM programmer

How Deep Neural Networks Work

What does area have to do with slope? | Chapter 9, Essence of calculus

Integration and the fundamental theorem of calculus | Chapter 8, Essence of calculus

Limits, L'Hôpital's rule, and epsilon delta definitions | Chapter 7, Essence of calculus

Implicit differentiation, what's going on here? | Chapter 6, Essence of calculus

What's so special about Euler's number e? | Chapter 5, Essence of calculus

Visualizing the chain rule and product rule | Chapter 4, Essence of calculus

Derivative formulas through geometry | Chapter 3, Essence of calculus

The paradox of the derivative | Chapter 2, Essence of calculus

The essence of calculus

A more interesting self-driving neural network model - Python plays GTA p.13

Testing self driving neural network model - Python plays GTA p.12

Training convolutional neural network for self-driving - Python plays GTA p.11

Balancing self-driving training data - Python plays GTA p.10

Neural Network Training Data for self-driving - Python plays GTA p.9

From Particle Physics to Audio AI with Scott Stephenson - #19

[MINI] GPU CPU

[MINI] Backpropagation

Registers and RAM: Crash Course Computer Science #6

Machine Learning in Cybersecurity with Evan Wright - #16

[MINI] Feed Forward Neural Networks

Domain Knowledge in Machine Learning Models for Sustainability with Stefano Ermon - #15

Representing Numbers and Letters with Binary: Crash Course Computer Science #4

Quantum Mechanics - Part 2: Crash Course Physics #44

Reprogramming the Human Genome with AI, w/ Brendan Frey - #12

Deep Learning: Modular in Theory, Inflexible in Practice with Diogo Almeida - #8

Explaining the Predictions of Machine Learning Models with Carlos Guestrin - #7

Generating Labeled Training Data for Your ML/AI Models with Angie Hugeback - #6

Open Source Data Science Masters, Hybrid AI, Algorithmic Ethics & More with Clare Corthell - #1