📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

ML Fundamentals

CS231n Winter 2016: Lecture1: Introduction and Historical Context

Andrej Karpathy Beginner 10y ago

ML Fundamentals

Neural Programmer-Interpreters Learn To Write Programs | Two Minute Papers #34

Two Minute Papers Beginner 10y ago

ML Fundamentals

Truths Behind the Titanic : K-Nearest Neighbor

ritvikmath Beginner 10y ago

ML Fundamentals

How Bitcoin Works - Computerphile

Computerphile Intermediate 10y ago

ML Fundamentals

Pixel Noise (Music from Images) - Computerphile

Computerphile Intermediate 10y ago

ML Fundamentals

Google DeepMind's Deep Q-Learning & Superhuman Atari Gameplays | Two Minute Papers #27

Two Minute Papers Beginner 10y ago

ML Fundamentals

Inspire Your Friends to Learn Machine Learning #LearnML

Coursera Intermediate 10y ago

ML Fundamentals

What Deep Learning and Machine Learning Mean For the Future of SEO - Whiteboard Friday

Moz Beginner 10y ago

ML Fundamentals

Scikit Learn Incorporation - p.16 Data Analysis with Python and Pandas Tutorial

sentdex Beginner 10y ago

ML Fundamentals

Music And Measure Theory

3Blue1Brown Advanced 10y ago

ML Fundamentals

Is Glass a Liquid?

Veritasium Intermediate 10y ago

ML Fundamentals

Discrimination: Crash Course Government and Politics #31

CrashCourse Beginner 10y ago

ML Fundamentals

How to count to 1000 on two hands

3Blue1Brown Intermediate 10y ago

ML Fundamentals

Coursera Learner Story: Scotty Rushing

Coursera Beginner 10y ago

ML Fundamentals

Productivity and Growth: Crash Course Economics #6

CrashCourse Beginner 10y ago

ML Fundamentals

Vector Norms

ritvikmath Intermediate 10y ago

ML Fundamentals

Our Greatest Delusion

Veritasium Intermediate 10y ago

ML Fundamentals

BECCA creates features from MNIST

Brandon Rohrer Beginner 10y ago

ML Fundamentals

Testing our Machine Learning Strategy - Python for Finance 17

sentdex Beginner 10y ago

ML Fundamentals

How to find the best model parameters in scikit-learn

Data School Advanced 10y ago

ML Fundamentals

Selecting the best model in scikit-learn using cross-validation

Data School Beginner 10y ago

ML Fundamentals

TLU Three Letter Username Obsession - Computerphile

Computerphile Intermediate 10y ago

ML Fundamentals

How Does Deep Learning Work? | Two Minute Papers #24

Two Minute Papers Advanced 10y ago

ML Fundamentals

Recurrent Neural Network Writes Sentences About Images | Two Minute Papers #23

Two Minute Papers Beginner 10y ago

ML Fundamentals

Recurrent Neural Network Writes Music and Shakespeare Novels | Two Minute Papers #19

Two Minute Papers Advanced 10y ago

ML Fundamentals

The Trouble with Missing Data - Computerphile

Computerphile Beginner 10y ago

ML Fundamentals

Why Do We Need IP Addresses? - Computerphile

Computerphile Beginner 10y ago

ML Fundamentals

Creating Photographs Using Deep Learning | Two Minute Papers #13

Two Minute Papers Advanced 10y ago

ML Fundamentals

Coursera Learner Story: Scotty Rushing (Directors Cut)

Coursera Beginner 10y ago

ML Fundamentals

Coursera Learner Story: Vivek Shangari

Coursera Beginner 10y ago

ML Fundamentals

Coursera Learner Story: Vivek Shangari (Director's Cut)

Coursera Beginner 10y ago

ML Fundamentals

Subway Stop

Coursera Beginner 10y ago

ML Fundamentals

Daydreaming

Coursera Beginner 10y ago

ML Fundamentals

Coffee Break

Coursera Beginner 10y ago

ML Fundamentals

Bored Meeting

Coursera Beginner 10y ago

ML Fundamentals

Commute

Coursera Beginner 10y ago

ML Fundamentals

Machine Learning Methods - Computerphile

Computerphile Beginner 10y ago

ML Fundamentals

AI Learns Van Gogh's Art

Two Minute Papers Intermediate 10y ago

ML Fundamentals

Silicon Brain: 1,000,000 ARM cores - Computerphile

Computerphile Intermediate 10y ago

ML Fundamentals

"C" Programming Language: Brian Kernighan - Computerphile

Computerphile Intermediate 10y ago

ML Fundamentals

Overfitting

ritvikmath Intermediate 10y ago

ML Fundamentals

Artificial Neural Networks and Deep Learning | Two Minute Papers #3

Two Minute Papers Advanced 10y ago

ML Fundamentals

Evolutionarily Stable Strategies ft. Richard Dawkins

Veritasium Intermediate 10y ago

ML Fundamentals

[See Description] Creating our Machine Learning Classifiers - Python for Finance 16

sentdex Beginner 10y ago

ML Fundamentals

Creating Machine Learning Classifier Feature Sets - Python for Finance 15

sentdex Beginner 10y ago

ML Fundamentals

[See Description] Building Machine Learning Framework - Python for Finance 14

sentdex Beginner 10y ago

ML Fundamentals

[See Description] Paper Trading a Strategy on Quantopian - Python for Finance 12

sentdex Beginner 10y ago

ML Fundamentals

Smile Detection - Computerphile

Computerphile Intermediate 10y ago