Foundations

ML Fundamentals

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

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ML Maths Basics
beginner
Manipulate vectors and matrices
Supervised Learning
beginner
Train decision trees, random forests, and neural nets
Unsupervised Learning
intermediate
Apply k-means and DBSCAN clustering
ML Pipelines
intermediate
Engineer features and handle missing data
CS231n Winter 2016: Lecture 11: ConvNets in practice
ML Fundamentals
CS231n Winter 2016: Lecture 11: ConvNets in practice
Andrej Karpathy Intermediate 10y ago
How to install Julia on Windows
ML Fundamentals
How to install Julia on Windows
codebasics Beginner 10y ago
CS231n Winter 2016: Lecture 10: Recurrent Neural Networks, Image Captioning, LSTM
ML Fundamentals
CS231n Winter 2016: Lecture 10: Recurrent Neural Networks, Image Captioning, LSTM
Andrej Karpathy Intermediate 10y ago
Data Analysis simplified with Ensmo.com
ML Fundamentals
Data Analysis simplified with Ensmo.com
sentdex Beginner 10y ago
Breaking Deep Learning Systems With Adversarial Examples | Two Minute Papers #43
ML Fundamentals
Breaking Deep Learning Systems With Adversarial Examples | Two Minute Papers #43
Two Minute Papers Intermediate 10y ago
How DeepMind Conquered Go With Deep Learning (AlphaGo) | Two Minute Papers #42
ML Fundamentals
How DeepMind Conquered Go With Deep Learning (AlphaGo) | Two Minute Papers #42
Two Minute Papers Beginner 10y ago
Fractal charm: Space filling curves
ML Fundamentals
Fractal charm: Space filling curves
3Blue1Brown Intermediate 10y ago
Chomsky Hierarchy - Computerphile
ML Fundamentals
Chomsky Hierarchy - Computerphile
Computerphile Intermediate 10y ago
Truths Behind the Titanic : K-Nearest Neighbor
ML Fundamentals
Truths Behind the Titanic : K-Nearest Neighbor
ritvikmath Beginner 10y ago
How Bitcoin Works - Computerphile
ML Fundamentals
How Bitcoin Works - Computerphile
Computerphile Intermediate 10y ago
Inspire Your Friends to Learn Machine Learning #LearnML
ML Fundamentals
Inspire Your Friends to Learn Machine Learning #LearnML
Coursera Intermediate 10y ago
What Deep Learning and Machine Learning Mean For the Future of SEO - Whiteboard Friday
ML Fundamentals
What Deep Learning and Machine Learning Mean For the Future of SEO - Whiteboard Friday
Moz Beginner 10y ago
Scikit Learn Incorporation - p.16 Data Analysis with Python and Pandas Tutorial
ML Fundamentals
Scikit Learn Incorporation - p.16 Data Analysis with Python and Pandas Tutorial
sentdex Beginner 10y ago
Music And Measure Theory
ML Fundamentals
Music And Measure Theory
3Blue1Brown Advanced 10y ago
Is Glass a Liquid?
ML Fundamentals
Is Glass a Liquid?
Veritasium Intermediate 10y ago
Discrimination: Crash Course Government and Politics #31
ML Fundamentals
Discrimination: Crash Course Government and Politics #31
CrashCourse Beginner 10y ago
Coursera Learner Story: Scotty Rushing
ML Fundamentals
Coursera Learner Story: Scotty Rushing
Coursera Beginner 10y ago
CS231n Winter 2016: Lecture 9: Visualization, Deep Dream, Neural Style, Adversarial Examples
ML Fundamentals
CS231n Winter 2016: Lecture 9: Visualization, Deep Dream, Neural Style, Adversarial Examples
Andrej Karpathy Intermediate 10y ago
CS231n Winter 2016: Lecture 8: Localization and Detection
ML Fundamentals
CS231n Winter 2016: Lecture 8: Localization and Detection
Andrej Karpathy Intermediate 10y ago
CS231n Winter 2016: Lecture 7: Convolutional Neural Networks
ML Fundamentals
CS231n Winter 2016: Lecture 7: Convolutional Neural Networks
Andrej Karpathy Intermediate 10y ago
CS231n Winter 2016: Lecture 6: Neural Networks Part 3 / Intro to ConvNets
ML Fundamentals
CS231n Winter 2016: Lecture 6: Neural Networks Part 3 / Intro to ConvNets
Andrej Karpathy Beginner 10y ago
CS231n Winter 2016: Lecture 5: Neural Networks Part 2
ML Fundamentals
CS231n Winter 2016: Lecture 5: Neural Networks Part 2
Andrej Karpathy Intermediate 10y ago
CS231n Winter 2016: Lecture 4: Backpropagation, Neural Networks 1
ML Fundamentals
CS231n Winter 2016: Lecture 4: Backpropagation, Neural Networks 1
Andrej Karpathy Intermediate 10y ago
CS231n Winter 2016: Lecture 3: Linear Classification 2, Optimization
ML Fundamentals
CS231n Winter 2016: Lecture 3: Linear Classification 2, Optimization
Andrej Karpathy Advanced 10y ago
Designing Cities and Furnitures With Machine Learning | Two Minute Papers #36
ML Fundamentals
Designing Cities and Furnitures With Machine Learning | Two Minute Papers #36
Two Minute Papers Beginner 10y ago
CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1
ML Fundamentals
CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1
Andrej Karpathy Intermediate 10y ago
9 Cool Deep Learning Applications | Two Minute Papers #35
ML Fundamentals
9 Cool Deep Learning Applications | Two Minute Papers #35
Two Minute Papers Beginner 10y ago
CS231n Winter 2016: Lecture1: Introduction and Historical Context
ML Fundamentals
CS231n Winter 2016: Lecture1: Introduction and Historical Context
Andrej Karpathy Beginner 10y ago
Neural Programmer-Interpreters Learn To Write Programs | Two Minute Papers #34
ML Fundamentals
Neural Programmer-Interpreters Learn To Write Programs | Two Minute Papers #34
Two Minute Papers Beginner 10y ago
Pixel Noise (Music from Images) - Computerphile
ML Fundamentals
Pixel Noise (Music from Images) - Computerphile
Computerphile Intermediate 10y ago
Google DeepMind's Deep Q-Learning & Superhuman Atari Gameplays | Two Minute Papers #27
ML Fundamentals
Google DeepMind's Deep Q-Learning & Superhuman Atari Gameplays | Two Minute Papers #27
Two Minute Papers Beginner 10y ago
TLU Three Letter Username Obsession - Computerphile
ML Fundamentals
TLU Three Letter Username Obsession - Computerphile
Computerphile Intermediate 10y ago
How Does Deep Learning Work? | Two Minute Papers #24
ML Fundamentals
How Does Deep Learning Work? | Two Minute Papers #24
Two Minute Papers Advanced 10y ago
Recurrent Neural Network Writes Sentences About Images | Two Minute Papers #23
ML Fundamentals
Recurrent Neural Network Writes Sentences About Images | Two Minute Papers #23
Two Minute Papers Beginner 10y ago
Recurrent Neural Network Writes Music and Shakespeare Novels | Two Minute Papers #19
ML Fundamentals
Recurrent Neural Network Writes Music and Shakespeare Novels | Two Minute Papers #19
Two Minute Papers Advanced 10y ago
The Trouble with Missing Data - Computerphile
ML Fundamentals
The Trouble with Missing Data - Computerphile
Computerphile Beginner 10y ago
Why Do We Need IP Addresses? - Computerphile
ML Fundamentals
Why Do We Need IP Addresses? - Computerphile
Computerphile Beginner 10y ago
Creating Photographs Using Deep Learning | Two Minute Papers #13
ML Fundamentals
Creating Photographs Using Deep Learning | Two Minute Papers #13
Two Minute Papers Advanced 10y ago
How to count to 1000 on two hands
ML Fundamentals
How to count to 1000 on two hands
3Blue1Brown Intermediate 10y ago
Coursera Learner Story: Scotty Rushing (Directors Cut)
ML Fundamentals
Coursera Learner Story: Scotty Rushing (Directors Cut)
Coursera Beginner 10y ago
Coursera Learner Story: Vivek Shangari
ML Fundamentals
Coursera Learner Story: Vivek Shangari
Coursera Beginner 10y ago
Coursera Learner Story: Vivek Shangari (Director's Cut)
ML Fundamentals
Coursera Learner Story: Vivek Shangari (Director's Cut)
Coursera Beginner 10y ago
Subway Stop
ML Fundamentals
Subway Stop
Coursera Beginner 10y ago
Daydreaming
ML Fundamentals
Daydreaming
Coursera Beginner 10y ago
Coffee Break
ML Fundamentals
Coffee Break
Coursera Beginner 10y ago
Bored Meeting
ML Fundamentals
Bored Meeting
Coursera Beginner 10y ago
Commute
ML Fundamentals
Commute
Coursera Beginner 10y ago
Machine Learning Methods - Computerphile
ML Fundamentals
Machine Learning Methods - Computerphile
Computerphile Beginner 10y ago
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Artificial Intelligence on Microsoft Azure
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Interpretable Machine Learning Applications: Part 4
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Interpretable Machine Learning Applications: Part 4
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Diabetes Prediction With Pyspark MLLIB
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An Introduction to Practical Deep Learning
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