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
R Squared Theory - Practical Machine Learning Tutorial with Python p.10
ML Fundamentals ⚡ AI Lesson
R Squared Theory - Practical Machine Learning Tutorial with Python p.10
sentdex Beginner 10y ago
“Coursera Is”: Learners Reflect on What Coursera Means to Them
ML Fundamentals
“Coursera Is”: Learners Reflect on What Coursera Means to Them
Coursera Beginner 10y ago
How to program the Best Fit Line - Practical Machine Learning Tutorial with Python p.9
ML Fundamentals ⚡ AI Lesson
How to program the Best Fit Line - Practical Machine Learning Tutorial with Python p.9
sentdex Beginner 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
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
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
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
CS231n Winter 2016: Lecture 12: Deep Learning libraries
ML Fundamentals
CS231n Winter 2016: Lecture 12: Deep Learning libraries
Andrej Karpathy Beginner 10y ago
How to install Julia on Windows
ML Fundamentals
How to install Julia on Windows
codebasics Beginner 10y ago
Truths Behind the Titanic : K-Nearest Neighbor
ML Fundamentals ⚡ AI Lesson
Truths Behind the Titanic : K-Nearest Neighbor
ritvikmath Beginner 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
The Trouble with Missing Data - Computerphile
ML Fundamentals ⚡ AI Lesson
The Trouble with Missing Data - Computerphile
Computerphile Beginner 10y ago
Why Do We Need IP Addresses? - Computerphile
ML Fundamentals ⚡ AI Lesson
Why Do We Need IP Addresses? - Computerphile
Computerphile Beginner 10y ago
Coursera Learner Story: Scotty Rushing
ML Fundamentals
Coursera Learner Story: Scotty Rushing
Coursera Beginner 10y ago
Regression How it Works - Practical Machine Learning Tutorial with Python p.7
ML Fundamentals ⚡ AI Lesson
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 ⚡ AI Lesson
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 ⚡ AI Lesson
Overfitting and Regularization For Deep Learning | Two Minute Papers #56
Two Minute Papers Beginner 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
Data Analysis simplified with Ensmo.com
ML Fundamentals
Data Analysis simplified with Ensmo.com
sentdex Beginner 10y ago
How DeepMind Conquered Go With Deep Learning (AlphaGo) | Two Minute Papers #42
ML Fundamentals ⚡ AI Lesson
How DeepMind Conquered Go With Deep Learning (AlphaGo) | Two Minute Papers #42
Two Minute Papers Beginner 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
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
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 ⚡ AI Lesson
Neural Programmer-Interpreters Learn To Write Programs | Two Minute Papers #34
Two Minute Papers Beginner 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
Scikit Learn Incorporation - p.16 Data Analysis with Python and Pandas Tutorial
ML Fundamentals ⚡ AI Lesson
Scikit Learn Incorporation - p.16 Data Analysis with Python and Pandas Tutorial
sentdex Beginner 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
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 (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 ⚡ AI Lesson
Machine Learning Methods - Computerphile
Computerphile Beginner 10y ago
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