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📐 ML Fundamentals

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

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Why Finance is crucial to cancer drug development
ML Fundamentals
Why Finance is crucial to cancer drug development
MIT OpenCourseWare Intermediate 11mo ago
Finance for public good
ML Fundamentals
Finance for public good
MIT OpenCourseWare Intermediate 11mo ago
Navigating OER Space: MIT Libraries Open Educational Resources Guide
ML Fundamentals
Navigating OER Space: MIT Libraries Open Educational Resources Guide
MIT OpenCourseWare Beginner 11mo ago
The Four Fundamental Subspaces and Least Squares
ML Fundamentals
The Four Fundamental Subspaces and Least Squares
MIT OpenCourseWare Beginner 1y ago
Elimination and Factorization A = CR
ML Fundamentals
Elimination and Factorization A = CR
MIT OpenCourseWare Intermediate 1y ago
OCW Viajes de aprendizaje: La historia de Tomás
ML Fundamentals
OCW Viajes de aprendizaje: La historia de Tomás
MIT OpenCourseWare Intermediate 1y ago
OCW Learning Journeys: Michael's Story
ML Fundamentals
OCW Learning Journeys: Michael's Story
MIT OpenCourseWare Beginner 1y ago
OCW Learning Journeys: Jae-Min's Story #Chemistry #Thermodynamics #Physics #Science #MIT
ML Fundamentals
OCW Learning Journeys: Jae-Min's Story #Chemistry #Thermodynamics #Physics #Science #MIT
MIT OpenCourseWare Beginner 1y ago
OCW Learning Journeys: Emmanuel's Story #ArtificialIIntelligence #AI #Psychology #AnimalBehavior
ML Fundamentals
OCW Learning Journeys: Emmanuel's Story #ArtificialIIntelligence #AI #Psychology #AnimalBehavior
MIT OpenCourseWare Beginner 1y ago
OCW Learning Journeys: Maria's Story #MIT #Calculus #STEM #Brazil #OpenEducation #MedicalSchool
ML Fundamentals
OCW Learning Journeys: Maria's Story #MIT #Calculus #STEM #Brazil #OpenEducation #MedicalSchool
MIT OpenCourseWare Beginner 1y ago
Five Factorizations of a Matrix
ML Fundamentals
Five Factorizations of a Matrix
MIT OpenCourseWare Beginner 2y ago
Lecture 5 Part 1: Derivative of Matrix Determinant and Inverse
ML Fundamentals
Lecture 5 Part 1: Derivative of Matrix Determinant and Inverse
MIT OpenCourseWare Beginner 2y ago
Lecture 5 Part 2: Forward Automatic Differentiation via Dual Numbers
ML Fundamentals
Lecture 5 Part 2: Forward Automatic Differentiation via Dual Numbers
MIT OpenCourseWare Beginner 2y ago
Lecture 5 Part 3: Differentiation on Computational Graphs
ML Fundamentals
Lecture 5 Part 3: Differentiation on Computational Graphs
MIT OpenCourseWare Beginner 2y ago
Lecture 1 Part 1: Introduction and Motivation
ML Fundamentals
Lecture 1 Part 1: Introduction and Motivation
MIT OpenCourseWare Beginner 2y ago
Lecture 8 Part 1: Derivatives of Eigenproblems
ML Fundamentals
Lecture 8 Part 1: Derivatives of Eigenproblems
MIT OpenCourseWare Beginner 2y ago
Lecture 3 Part 1: Kronecker Products and Jacobians
ML Fundamentals
Lecture 3 Part 1: Kronecker Products and Jacobians
MIT OpenCourseWare Beginner 2y ago
Lecture 3 Part 2: Finite-Difference Approximations
ML Fundamentals
Lecture 3 Part 2: Finite-Difference Approximations
MIT OpenCourseWare Beginner 2y ago
Lecture 2 Part 1: Derivatives in Higher Dimensions: Jacobians and Matrix Functions
ML Fundamentals
Lecture 2 Part 1: Derivatives in Higher Dimensions: Jacobians and Matrix Functions
MIT OpenCourseWare Beginner 2y ago
Lecture 4 Part 2: Nonlinear Root Finding, Optimization, and Adjoint Gradient Methods
ML Fundamentals
Lecture 4 Part 2: Nonlinear Root Finding, Optimization, and Adjoint Gradient Methods
MIT OpenCourseWare Beginner 2y ago
Lecture 7 Part 2: Second Derivatives, Bilinear Forms, and Hessian Matrices
ML Fundamentals
Lecture 7 Part 2: Second Derivatives, Bilinear Forms, and Hessian Matrices
MIT OpenCourseWare Beginner 2y ago
Lecture 4 Part 1: Gradients and Inner Products in Other Vector Spaces
ML Fundamentals
Lecture 4 Part 1: Gradients and Inner Products in Other Vector Spaces
MIT OpenCourseWare Beginner 2y ago
Lecture 2 Part 2: Vectorization of Matrix Functions
ML Fundamentals
Lecture 2 Part 2: Vectorization of Matrix Functions
MIT OpenCourseWare Beginner 2y ago
Lecture 1 Part 2: Derivatives as Linear Operators
ML Fundamentals
Lecture 1 Part 2: Derivatives as Linear Operators
MIT OpenCourseWare Beginner 2y ago
Lecture 8 Part 2: Automatic Differentiation on Computational Graphs
ML Fundamentals
Lecture 8 Part 2: Automatic Differentiation on Computational Graphs
MIT OpenCourseWare Beginner 2y ago
Lecture 7 Part 1: Derivatives of Random Functions
ML Fundamentals
Lecture 7 Part 1: Derivatives of Random Functions
MIT OpenCourseWare Beginner 2y ago
Lecture 6 Part 1: Adjoint Differentiation of ODE Solutions
ML Fundamentals
Lecture 6 Part 1: Adjoint Differentiation of ODE Solutions
MIT OpenCourseWare Beginner 2y ago
Lecture 6 Part 2: Calculus of Variations and Gradients of Functionals
ML Fundamentals
Lecture 6 Part 2: Calculus of Variations and Gradients of Functionals
MIT OpenCourseWare Beginner 2y ago
Another year of great growth and learning for OCW
ML Fundamentals
Another year of great growth and learning for OCW
MIT OpenCourseWare Beginner 2y ago
19. Cholesterol Biosynthesis 1
ML Fundamentals
19. Cholesterol Biosynthesis 1
MIT OpenCourseWare Intermediate 2y ago
1-1: Introduction, Overview, and Syllabus for Game Design
ML Fundamentals
1-1: Introduction, Overview, and Syllabus for Game Design
MIT OpenCourseWare Beginner 3y ago
14. Adding and Cutting Mechanics
ML Fundamentals
14. Adding and Cutting Mechanics
MIT OpenCourseWare Intermediate 3y ago
2-1: Meaningful Decisions in Gameplay
ML Fundamentals
2-1: Meaningful Decisions in Gameplay
MIT OpenCourseWare Intermediate 3y ago
22. Changing Rules I
ML Fundamentals
22. Changing Rules I
MIT OpenCourseWare Intermediate 3y ago
24. Indie Games and Aesthetics with Jesper Juul
ML Fundamentals
24. Indie Games and Aesthetics with Jesper Juul
MIT OpenCourseWare Advanced 3y ago
3-2: Altering Rules & Playtesting
ML Fundamentals
3-2: Altering Rules & Playtesting
MIT OpenCourseWare Beginner 3y ago
2-2: Brainstorming
ML Fundamentals
2-2: Brainstorming
MIT OpenCourseWare Beginner 3y ago
10. History of American Board Games
ML Fundamentals
10. History of American Board Games
MIT OpenCourseWare Beginner 3y ago
17. Guest Lectures by Professional Designers
ML Fundamentals
17. Guest Lectures by Professional Designers
MIT OpenCourseWare Intermediate 3y ago
11. Defining Game, Play, and Sport
ML Fundamentals
11. Defining Game, Play, and Sport
MIT OpenCourseWare Intermediate 3y ago
4. Mechanics, Dynamics, Aesthetics - The MDA Framework
ML Fundamentals
4. Mechanics, Dynamics, Aesthetics - The MDA Framework
MIT OpenCourseWare Intermediate 3y ago
16. The Simulation Gap & Assignment 3 Pitches
ML Fundamentals
16. The Simulation Gap & Assignment 3 Pitches
MIT OpenCourseWare Intermediate 3y ago
23. Changing Rules II
ML Fundamentals
23. Changing Rules II
MIT OpenCourseWare Intermediate 3y ago
5. Imperfect Information and Dice
ML Fundamentals
5. Imperfect Information and Dice
MIT OpenCourseWare Intermediate 3y ago
20. Cooperative Games
ML Fundamentals
20. Cooperative Games
MIT OpenCourseWare Intermediate 3y ago
3-1: Prototyping
ML Fundamentals
3-1: Prototyping
MIT OpenCourseWare Intermediate 3y ago
7. Aesthetics and Player Experience
ML Fundamentals
7. Aesthetics and Player Experience
MIT OpenCourseWare Intermediate 3y ago
21. Social Play
ML Fundamentals
21. Social Play
MIT OpenCourseWare Intermediate 3y ago
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Calculus: Single Variable Part 1 - Functions
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Calculus: Single Variable Part 1 - Functions
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Microsoft Azure Machine Learning for Data Scientists
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