Foundations

ML Fundamentals

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

8592
lessons
Nonsquare matrices as transformations between dimensions | Chapter 8, Essence of linear algebra
ML Fundamentals
Nonsquare matrices as transformations between dimensions | Chapter 8, Essence of linear algebra
3Blue1Brown Beginner 9y ago
Determinism vs Free Will: Crash Course Philosophy #24
ML Fundamentals
Determinism vs Free Will: Crash Course Philosophy #24
CrashCourse Beginner 9y ago
Git Github Tutorial 10: What is Pull Request?
ML Fundamentals
Git Github Tutorial 10: What is Pull Request?
codebasics Beginner 9y ago
The Physics of Music: Crash Course Physics #19
ML Fundamentals
The Physics of Music: Crash Course Physics #19
CrashCourse Beginner 9y ago
Git Tutorial 6: Branches (Create, Merge, Delete a branch)
ML Fundamentals
Git Tutorial 6: Branches (Create, Merge, Delete a branch)
codebasics Beginner 9y ago
The determinant | Chapter 6, Essence of linear algebra
ML Fundamentals
The determinant | Chapter 6, Essence of linear algebra
3Blue1Brown Beginner 9y ago
8-bit computer RAM intro
ML Fundamentals
8-bit computer RAM intro
Ben Eater Beginner 9y ago
Running our Network  - Deep Learning with Neural Networks and TensorFlow
ML Fundamentals
Running our Network - Deep Learning with Neural Networks and TensorFlow
sentdex Beginner 9y ago
Neural Network Model - Deep Learning with Neural Networks and TensorFlow
ML Fundamentals
Neural Network Model - Deep Learning with Neural Networks and TensorFlow
sentdex Beginner 9y ago
Troubleshooting the ALU
ML Fundamentals
Troubleshooting the ALU
Ben Eater Beginner 9y ago
How do I create dummy variables in pandas?
ML Fundamentals
How do I create dummy variables in pandas?
Data School Beginner 9y ago
Gamer's Paradise - Computerphile
ML Fundamentals
Gamer's Paradise - Computerphile
Computerphile Beginner 9y ago
Inside a Neural Network - Computerphile
ML Fundamentals
Inside a Neural Network - Computerphile
Computerphile Beginner 9y ago
How do I use pandas with scikit-learn to create Kaggle submissions?
ML Fundamentals
How do I use pandas with scikit-learn to create Kaggle submissions?
Data School Beginner 9y ago
Hallucinating Images With Deep Learning | Two Minute Papers #74
ML Fundamentals
Hallucinating Images With Deep Learning | Two Minute Papers #74
Two Minute Papers Beginner 9y ago
Three-dimensional linear transformations | Chapter 5, Essence of linear algebra
ML Fundamentals
Three-dimensional linear transformations | Chapter 5, Essence of linear algebra
3Blue1Brown Beginner 9y ago
Matrix multiplication as composition | Chapter 4, Essence of linear algebra
ML Fundamentals
Matrix multiplication as composition | Chapter 4, Essence of linear algebra
3Blue1Brown Beginner 9y ago
Linear transformations and matrices | Chapter 3, Essence of linear algebra
ML Fundamentals
Linear transformations and matrices | Chapter 3, Essence of linear algebra
3Blue1Brown Beginner 9y ago
Linear combinations, span, and basis vectors | Chapter 2, Essence of linear algebra
ML Fundamentals
Linear combinations, span, and basis vectors | Chapter 2, Essence of linear algebra
3Blue1Brown Beginner 9y ago
Vectors | Chapter 1, Essence of linear algebra
ML Fundamentals
Vectors | Chapter 1, Essence of linear algebra
3Blue1Brown Beginner 9y ago
Essence of linear algebra preview
ML Fundamentals
Essence of linear algebra preview
3Blue1Brown Beginner 9y ago
Sound: Crash Course Physics #18
ML Fundamentals
Sound: Crash Course Physics #18
CrashCourse Beginner 9y ago
Where Does Your Mind Reside?: Crash Course Philosophy #22
ML Fundamentals
Where Does Your Mind Reside?: Crash Course Philosophy #22
CrashCourse Beginner 9y ago
Traveling Waves: Crash Course Physics #17
ML Fundamentals
Traveling Waves: Crash Course Physics #17
CrashCourse Beginner 9y ago
Shakespeare's Sonnets: Crash Course Literature 304
ML Fundamentals
Shakespeare's Sonnets: Crash Course Literature 304
CrashCourse Beginner 9y ago
Personhood: Crash Course Philosophy #21
ML Fundamentals
Personhood: Crash Course Philosophy #21
CrashCourse Beginner 9y ago
Git Tutorial 2 : What is Github? | github tutorial
ML Fundamentals
Git Tutorial 2 : What is Github? | github tutorial
codebasics Beginner 9y ago
Git Tutorial 1: What is git / What is version control system?
ML Fundamentals
Git Tutorial 1: What is git / What is version control system?
codebasics Beginner 9y ago
Git Tutorial 3:  How To Install Git
ML Fundamentals
Git Tutorial 3: How To Install Git
codebasics Beginner 9y ago
Simple Harmonic Motion: Crash Course Physics #16
ML Fundamentals
Simple Harmonic Motion: Crash Course Physics #16
CrashCourse Beginner 9y ago
TensorFlow Basics - Deep Learning with Neural Networks p. 2
ML Fundamentals
TensorFlow Basics - Deep Learning with Neural Networks p. 2
sentdex Beginner 9y ago
Outtakes #2: Crash Course Philosophy
ML Fundamentals
Outtakes #2: Crash Course Philosophy
CrashCourse Beginner 9y ago
Installing TensorFlow (OPTIONAL) - Deep Learning with Neural Networks and TensorFlow p2.1
ML Fundamentals
Installing TensorFlow (OPTIONAL) - Deep Learning with Neural Networks and TensorFlow p2.1
sentdex Beginner 9y ago
Deep Learning with Neural Networks and TensorFlow Introduction
ML Fundamentals
Deep Learning with Neural Networks and TensorFlow Introduction
sentdex Beginner 9y ago
Twos complement: Negative numbers in binary
ML Fundamentals
Twos complement: Negative numbers in binary
Ben Eater Beginner 9y ago
Fluids at Rest: Crash Course Physics #14
ML Fundamentals
Fluids at Rest: Crash Course Physics #14
CrashCourse Beginner 9y ago
Mean Shift Dynamic Bandwidth - Practical Machine Learning Tutorial with Python p.42
ML Fundamentals
Mean Shift Dynamic Bandwidth - Practical Machine Learning Tutorial with Python p.42
sentdex Beginner 9y ago
Mean Shift from Scratch - Practical Machine Learning Tutorial with Python p.41
ML Fundamentals
Mean Shift from Scratch - Practical Machine Learning Tutorial with Python p.41
sentdex Beginner 9y ago
Outtakes #1: Crash Course Games
ML Fundamentals
Outtakes #1: Crash Course Games
CrashCourse Beginner 9y ago
Mean Shift with Titanic Dataset - Practical Machine Learning Tutorial with Python p.40
ML Fundamentals
Mean Shift with Titanic Dataset - Practical Machine Learning Tutorial with Python p.40
sentdex Beginner 9y ago
Outtakes #1: Crash Course Physics
ML Fundamentals
Outtakes #1: Crash Course Physics
CrashCourse Beginner 9y ago
Mean Shift Intro - Practical Machine Learning Tutorial with Python p.39
ML Fundamentals
Mean Shift Intro - Practical Machine Learning Tutorial with Python p.39
sentdex Beginner 9y ago
Statics: Crash Course Physics #13
ML Fundamentals
Statics: Crash Course Physics #13
CrashCourse Beginner 9y ago
Secrets of the Deep Dark Web (Deep Dark Web Pt2) - Computerphile
ML Fundamentals
Secrets of the Deep Dark Web (Deep Dark Web Pt2) - Computerphile
Computerphile Beginner 9y ago
K Means from Scratch - Practical Machine Learning Tutorial with Python p.38
ML Fundamentals
K Means from Scratch - Practical Machine Learning Tutorial with Python p.38
sentdex Beginner 9y ago
Batman & Identity: Crash Course Philosophy #18
ML Fundamentals
Batman & Identity: Crash Course Philosophy #18
CrashCourse Beginner 9y ago
Custom K Means - Practical Machine Learning Tutorial with Python p.37
ML Fundamentals
Custom K Means - Practical Machine Learning Tutorial with Python p.37
sentdex Beginner 9y ago
Web vs Internet (Deep Dark Web Pt1) - Computerphile
ML Fundamentals
Web vs Internet (Deep Dark Web Pt1) - Computerphile
Computerphile Beginner 9y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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Smart Analytics, Machine Learning, and AI on GCP en Español
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Self-paced
Smart Analytics, Machine Learning, and AI on GCP en Español
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Data Science Companion
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Self-paced
Data Science Companion
Opens on Coursera ↗
Optimize Deep Learning: Tune PyTorch Models
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Self-paced
Optimize Deep Learning: Tune PyTorch Models
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Build Decision Trees, SVMs, and Artificial Neural Networks
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Self-paced
Build Decision Trees, SVMs, and Artificial Neural Networks
Opens on Coursera ↗
Transform Audio: Extract Features & Augment Models
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Self-paced
Transform Audio: Extract Features & Augment Models
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Basic Math: Integrals
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Self-paced
Basic Math: Integrals
Opens on Coursera ↗