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📐 ML Fundamentals

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

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How to program the Best Fit Line - Practical Machine Learning Tutorial with Python p.9
ML Fundamentals
How to program the Best Fit Line - Practical Machine Learning Tutorial with Python p.9
sentdex Beginner 10y ago
How to program the Best Fit Slope - Practical Machine Learning Tutorial with Python p.8
ML Fundamentals
How to program the Best Fit Slope - Practical Machine Learning Tutorial with Python p.8
sentdex Intermediate 10y ago
Integrals: Crash Course Physics #3
ML Fundamentals
Integrals: Crash Course Physics #3
CrashCourse Beginner 10y ago
10 Even Cooler Deep Learning Applications | Two Minute Papers #59
ML Fundamentals
10 Even Cooler Deep Learning Applications | Two Minute Papers #59
Two Minute Papers Beginner 10y ago
SGML HTML XML What's the Difference? (Part 1) - Computerphile
ML Fundamentals
SGML HTML XML What's the Difference? (Part 1) - Computerphile
Computerphile Intermediate 10y ago
Derivatives: Crash Course Physics #2
ML Fundamentals
Derivatives: Crash Course Physics #2
CrashCourse Beginner 10y ago
From Doodles To Paintings With Deep Learning | Two Minute Papers #57
ML Fundamentals
From Doodles To Paintings With Deep Learning | Two Minute Papers #57
Two Minute Papers Beginner 10y ago
Build a Neural Net in 4 Minutes
ML Fundamentals
Build a Neural Net in 4 Minutes
Siraj Raval Beginner 10y ago
Snell's law proof using springs
ML Fundamentals
Snell's law proof using springs
3Blue1Brown Advanced 10y ago
The Brachistochrone, with Steven Strogatz
ML Fundamentals
The Brachistochrone, with Steven Strogatz
3Blue1Brown Beginner 10y ago
How reinforcement learning works in Becca 7
ML Fundamentals
How reinforcement learning works in Becca 7
Brandon Rohrer Beginner 10y ago
Finding Optimal Paths - Dynamic Programming
ML Fundamentals
Finding Optimal Paths - Dynamic Programming
ritvikmath Intermediate 10y ago
Sillyfish
ML Fundamentals
Sillyfish
ritvikmath Intermediate 10y ago
AI's Game Playing Challenge - Computerphile
ML Fundamentals
AI's Game Playing Challenge - Computerphile
Computerphile Intermediate 10y ago
CS231n Winter 2016: Lecture 15: Invited Talk by Jeff Dean
ML Fundamentals
CS231n Winter 2016: Lecture 15: Invited Talk by Jeff Dean
Andrej Karpathy Intermediate 10y ago
CS231n Winter 2016: Lecture 14: Videos and Unsupervised Learning
ML Fundamentals
CS231n Winter 2016: Lecture 14: Videos and Unsupervised Learning
Andrej Karpathy Beginner 10y ago
How to install Julia on Windows
ML Fundamentals
How to install Julia on Windows
codebasics Beginner 10y ago
Regression How it Works - Practical Machine Learning Tutorial with Python p.7
ML Fundamentals
Regression How it Works - Practical Machine Learning Tutorial with Python p.7
sentdex Beginner 10y ago
Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6
ML Fundamentals
Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6
sentdex Beginner 10y ago
Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5
ML Fundamentals
Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5
sentdex Beginner 10y ago
Regression Training and Testing - Practical Machine Learning Tutorial with Python p.4
ML Fundamentals
Regression Training and Testing - Practical Machine Learning Tutorial with Python p.4
sentdex Beginner 10y ago
Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3
ML Fundamentals
Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3
sentdex Beginner 10y ago
Regression Intro - Practical Machine Learning Tutorial with Python p.2
ML Fundamentals
Regression Intro - Practical Machine Learning Tutorial with Python p.2
sentdex Beginner 10y ago
Practical Machine Learning Tutorial with Python Intro p.1
ML Fundamentals
Practical Machine Learning Tutorial with Python Intro p.1
sentdex Beginner 10y ago
Overfitting and Regularization For Deep Learning | Two Minute Papers #56
ML Fundamentals
Overfitting and Regularization For Deep Learning | Two Minute Papers #56
Two Minute Papers Beginner 10y ago
Secure Web Browsing - Computerphile
ML Fundamentals
Secure Web Browsing - Computerphile
Computerphile Intermediate 10y ago
AlphaGo & Deep Learning - Computerphile
ML Fundamentals
AlphaGo & Deep Learning - Computerphile
Computerphile Advanced 10y ago
How DeepMind's AlphaGo Defeated Lee Sedol | Two Minute Papers #53
ML Fundamentals
How DeepMind's AlphaGo Defeated Lee Sedol | Two Minute Papers #53
Two Minute Papers Beginner 10y ago
10 More Cool Deep Learning Applications | Two Minute Papers #52
ML Fundamentals
10 More Cool Deep Learning Applications | Two Minute Papers #52
Two Minute Papers Beginner 10y ago
Deep Learning Program Learns to Paint | Two Minute Papers #49
ML Fundamentals
Deep Learning Program Learns to Paint | Two Minute Papers #49
Two Minute Papers Intermediate 10y ago
CS231n Winter 2016: Lecture 12: Deep Learning libraries
ML Fundamentals
CS231n Winter 2016: Lecture 12: Deep Learning libraries
Andrej Karpathy Beginner 10y ago
CS231n Winter 2016: Lecture 11: ConvNets in practice
ML Fundamentals
CS231n Winter 2016: Lecture 11: ConvNets in practice
Andrej Karpathy Intermediate 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
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
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
CS231n Winter 2016: Lecture 8: Localization and Detection
ML Fundamentals
CS231n Winter 2016: Lecture 8: Localization and Detection
Andrej Karpathy 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
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
Fractal charm: Space filling curves
ML Fundamentals
Fractal charm: Space filling curves
3Blue1Brown 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
Chomsky Hierarchy - Computerphile
ML Fundamentals
Chomsky Hierarchy - Computerphile
Computerphile 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