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📐 ML Fundamentals

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

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7. Natural Language Processing (NLP), Part 1
ML Fundamentals
7. Natural Language Processing (NLP), Part 1
MIT OpenCourseWare Beginner 5y ago
12. Machine Learning for Pathology
ML Fundamentals
12. Machine Learning for Pathology
MIT OpenCourseWare Beginner 5y ago
11. Differential Diagnosis
ML Fundamentals
11. Differential Diagnosis
MIT OpenCourseWare Beginner 5y ago
16. Reinforcement Learning, Part 1
ML Fundamentals
16. Reinforcement Learning, Part 1
MIT OpenCourseWare Beginner 5y ago
9. Translating Technology Into the Clinic
ML Fundamentals
9. Translating Technology Into the Clinic
MIT OpenCourseWare Beginner 5y ago
4. Risk Stratification, Part 1
ML Fundamentals
4. Risk Stratification, Part 1
MIT OpenCourseWare Beginner 5y ago
6. Physiological Time-Series
ML Fundamentals
6. Physiological Time-Series
MIT OpenCourseWare Beginner 5y ago
5. Risk Stratification, Part 2
ML Fundamentals
5. Risk Stratification, Part 2
MIT OpenCourseWare Beginner 5y ago
18. Disease Progression Modeling and Subtyping, Part 1
ML Fundamentals
18. Disease Progression Modeling and Subtyping, Part 1
MIT OpenCourseWare Beginner 5y ago
17. Reinforcement Learning, Part 2
ML Fundamentals
17. Reinforcement Learning, Part 2
MIT OpenCourseWare Beginner 5y ago
10. Application of Machine Learning to Cardiac Imaging
ML Fundamentals
10. Application of Machine Learning to Cardiac Imaging
MIT OpenCourseWare Intermediate 5y ago
Protected Attributes and 'Fairness through Unawareness,' Exploring Fairness in Machine Learning
ML Fundamentals
Protected Attributes and 'Fairness through Unawareness,' Exploring Fairness in Machine Learning
MIT OpenCourseWare Beginner 5y ago
USAID Appropriate Use Framework, Exploring Fairness in Machine Learning
ML Fundamentals
USAID Appropriate Use Framework, Exploring Fairness in Machine Learning
MIT OpenCourseWare Beginner 5y ago
Solar Lighting Example, Exploring Fairness in Machine Learning
ML Fundamentals
Solar Lighting Example, Exploring Fairness in Machine Learning
MIT OpenCourseWare Beginner 5y ago
Fairness Criteria, Exploring Fairness in Machine Learning
ML Fundamentals
Fairness Criteria, Exploring Fairness in Machine Learning
MIT OpenCourseWare Intermediate 5y ago
Intro to Digital Cameras
ML Fundamentals
Intro to Digital Cameras
MIT OpenCourseWare Beginner 5y ago
What Cameras Can Do for You… and How They Do It!
ML Fundamentals
What Cameras Can Do for You… and How They Do It!
MIT OpenCourseWare Intermediate 5y ago
SWE (Society of Women Engineers)
ML Fundamentals
SWE (Society of Women Engineers)
MIT OpenCourseWare Intermediate 5y ago
Closing Remarks
ML Fundamentals
Closing Remarks
MIT OpenCourseWare Intermediate 5y ago
Inspiring the Next Generation: Women's Technology Program at MIT
ML Fundamentals
Inspiring the Next Generation: Women's Technology Program at MIT
MIT OpenCourseWare Intermediate 5y ago
Instructor Insights: Image Processing Activity
ML Fundamentals
Instructor Insights: Image Processing Activity
MIT OpenCourseWare Intermediate 5y ago
Welcome to Girls Who Build Cameras, Summer 2016
ML Fundamentals
Welcome to Girls Who Build Cameras, Summer 2016
MIT OpenCourseWare Intermediate 5y ago
Girls Who Build Cameras Promo
ML Fundamentals
Girls Who Build Cameras Promo
MIT OpenCourseWare Intermediate 5y ago
14: Rate Models and Perceptrons - Intro to Neural Computation
ML Fundamentals
14: Rate Models and Perceptrons - Intro to Neural Computation
MIT OpenCourseWare Beginner 5y ago
1. Artificial Intelligence and Machine Learning
ML Fundamentals
1. Artificial Intelligence and Machine Learning
MIT OpenCourseWare Beginner 5y ago
2. Cyber Network Data Processing; AI Data Architecture
ML Fundamentals
2. Cyber Network Data Processing; AI Data Architecture
MIT OpenCourseWare Beginner 5y ago
14. Graph limits I: introduction
ML Fundamentals
14. Graph limits I: introduction
MIT OpenCourseWare Beginner 5y ago
25. Structure of set addition V: additive energy and Balog-Szemerédi-Gowers theorem
ML Fundamentals
25. Structure of set addition V: additive energy and Balog-Szemerédi-Gowers theorem
MIT OpenCourseWare Advanced 5y ago
4. Forbidding a subgraph III: algebraic constructions
ML Fundamentals
4. Forbidding a subgraph III: algebraic constructions
MIT OpenCourseWare Advanced 5y ago
21. Structure of set addition I: introduction to Freiman's theorem
ML Fundamentals
21. Structure of set addition I: introduction to Freiman's theorem
MIT OpenCourseWare Beginner 5y ago
22. Structure of set addition II: groups of bounded exponent and modeling lemma
ML Fundamentals
22. Structure of set addition II: groups of bounded exponent and modeling lemma
MIT OpenCourseWare Advanced 5y ago
6. Szemerédi's graph regularity lemma I: statement and proof
ML Fundamentals
6. Szemerédi's graph regularity lemma I: statement and proof
MIT OpenCourseWare Advanced 5y ago
13. Sparse regularity and the Green-Tao theorem
ML Fundamentals
13. Sparse regularity and the Green-Tao theorem
MIT OpenCourseWare Intermediate 5y ago
16. Graph limits III: compactness and applications
ML Fundamentals
16. Graph limits III: compactness and applications
MIT OpenCourseWare Intermediate 5y ago
11. Pseudorandom graphs I: quasirandomness
ML Fundamentals
11. Pseudorandom graphs I: quasirandomness
MIT OpenCourseWare Advanced 5y ago
9. Szemerédi's graph regularity lemma IV: induced removal lemma
ML Fundamentals
9. Szemerédi's graph regularity lemma IV: induced removal lemma
MIT OpenCourseWare Intermediate 5y ago
2. Forbidding a subgraph I: Mantel's theorem and Turán's theorem
ML Fundamentals
2. Forbidding a subgraph I: Mantel's theorem and Turán's theorem
MIT OpenCourseWare Advanced 5y ago
15. Graph limits II: regularity and counting
ML Fundamentals
15. Graph limits II: regularity and counting
MIT OpenCourseWare Advanced 5y ago
24. Structure of set addition IV: proof of Freiman's theorem
ML Fundamentals
24. Structure of set addition IV: proof of Freiman's theorem
MIT OpenCourseWare Advanced 5y ago
5. Forbidding a subgraph IV: dependent random choice
ML Fundamentals
5. Forbidding a subgraph IV: dependent random choice
MIT OpenCourseWare Advanced 5y ago
7. Szemerédi's graph regularity lemma II: triangle removal lemma
ML Fundamentals
7. Szemerédi's graph regularity lemma II: triangle removal lemma
MIT OpenCourseWare Advanced 5y ago
18. Roth's theorem I: Fourier analytic proof over finite field
ML Fundamentals
18. Roth's theorem I: Fourier analytic proof over finite field
MIT OpenCourseWare Advanced 5y ago
17. Graph limits IV: inequalities between subgraph densities
ML Fundamentals
17. Graph limits IV: inequalities between subgraph densities
MIT OpenCourseWare Advanced 5y ago
26. Sum-product problem and incidence geometry
ML Fundamentals
26. Sum-product problem and incidence geometry
MIT OpenCourseWare Advanced 5y ago
3. Forbidding a subgraph II: complete bipartite subgraph
ML Fundamentals
3. Forbidding a subgraph II: complete bipartite subgraph
MIT OpenCourseWare Beginner 5y ago
23. Structure of set addition III: Bogolyubov's lemma and the geometry of numbers
ML Fundamentals
23. Structure of set addition III: Bogolyubov's lemma and the geometry of numbers
MIT OpenCourseWare Intermediate 5y ago
1. Introduction, Course Organization of MIT 7.016 Introductory Biology, Fall 2018
ML Fundamentals
1. Introduction, Course Organization of MIT 7.016 Introductory Biology, Fall 2018
MIT OpenCourseWare Beginner 5y ago
19. Cell Trafficking and Protein Localization
ML Fundamentals
19. Cell Trafficking and Protein Localization
MIT OpenCourseWare Beginner 5y ago
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