Foundations

ML Fundamentals

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

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Manipulate vectors and matrices
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Train decision trees, random forests, and neural nets
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intermediate
Apply k-means and DBSCAN clustering
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Engineer features and handle missing data
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Deep Learning Salon by Weights & Biases
ML Fundamentals
Deep Learning Salon by Weights & Biases
Weights & Biases Beginner 5y ago
Dawn Song: Adversarial Machine Learning and Computer Security | Lex Fridman Podcast #95
ML Fundamentals
Dawn Song: Adversarial Machine Learning and Computer Security | Lex Fridman Podcast #95
Lex Fridman Beginner 5y ago
The power tower puzzle | Ep. 8 Lockdown live math
ML Fundamentals
The power tower puzzle | Ep. 8 Lockdown live math
3Blue1Brown 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
Develop your Neural Network Like A Google Deep Learning Developer
ML Fundamentals
Develop your Neural Network Like A Google Deep Learning Developer
Krish Naik Beginner 5y ago
Math For Data Science | Practical reasons to learn math for Machine/Deep Learning
ML Fundamentals
Math For Data Science | Practical reasons to learn math for Machine/Deep Learning
Harshit Tyagi Beginner 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
10. Translation
ML Fundamentals
10. Translation
MIT OpenCourseWare Beginner 5y ago
12. Genetics 1 – Cell Division & Segregating Genetic Material
ML Fundamentals
12. Genetics 1 – Cell Division & Segregating Genetic Material
MIT OpenCourseWare Beginner 5y ago
14. Genetics 3 – Linkage, Crossing Over
ML Fundamentals
14. Genetics 3 – Linkage, Crossing Over
MIT OpenCourseWare Beginner 5y ago
2. Chemical Bonding and Molecular Interactions; Lipids and Membranes
ML Fundamentals
2. Chemical Bonding and Molecular Interactions; Lipids and Membranes
MIT OpenCourseWare Beginner 5y ago
21. Cell Signaling 2 – Examples
ML Fundamentals
21. Cell Signaling 2 – Examples
MIT OpenCourseWare Beginner 5y ago
35. Reproductive Cloning and Embryonic Stem Cells
ML Fundamentals
35. Reproductive Cloning and Embryonic Stem Cells
MIT OpenCourseWare Beginner 5y ago
3. Structures of Amino Acids, Peptides, and Proteins
ML Fundamentals
3. Structures of Amino Acids, Peptides, and Proteins
MIT OpenCourseWare Beginner 5y ago
26. Cancer 2
ML Fundamentals
26. Cancer 2
MIT OpenCourseWare Beginner 5y ago
13. Genetics 2 – Rules of Inheritance
ML Fundamentals
13. Genetics 2 – Rules of Inheritance
MIT OpenCourseWare Beginner 5y ago
33. Bacteria and Antibiotic Resistance
ML Fundamentals
33. Bacteria and Antibiotic Resistance
MIT OpenCourseWare Beginner 5y ago
11. Cells, the Simplest Functional Units
ML Fundamentals
11. Cells, the Simplest Functional Units
MIT OpenCourseWare Beginner 5y ago
20. Cell Signaling 1 – Overview
ML Fundamentals
20. Cell Signaling 1 – Overview
MIT OpenCourseWare Beginner 5y ago
25. Cancer 1
ML Fundamentals
25. Cancer 1
MIT OpenCourseWare Beginner 5y ago
27. Visualizing Life – Dyes and Stains
ML Fundamentals
27. Visualizing Life – Dyes and Stains
MIT OpenCourseWare Beginner 5y ago
15. Genetics 4 – The power of model organisms in biological discovery
ML Fundamentals
15. Genetics 4 – The power of model organisms in biological discovery
MIT OpenCourseWare Beginner 5y ago
5. Carbohydrates and Glycoproteins
ML Fundamentals
5. Carbohydrates and Glycoproteins
MIT OpenCourseWare Beginner 5y ago
17. Genomes and DNA Sequencing
ML Fundamentals
17. Genomes and DNA Sequencing
MIT OpenCourseWare Beginner 5y ago
4. Enzymes & Metabolism
ML Fundamentals
4. Enzymes & Metabolism
MIT OpenCourseWare Beginner 5y ago
31. Immunology 2 – Memory, T cells, & Autoimmunity
ML Fundamentals
31. Immunology 2 – Memory, T cells, & Autoimmunity
MIT OpenCourseWare Beginner 5y ago
16. Recombinant DNA, Cloning, & Editing
ML Fundamentals
16. Recombinant DNA, Cloning, & Editing
MIT OpenCourseWare Beginner 5y ago
8. Transcription
ML Fundamentals
8. Transcription
MIT OpenCourseWare Beginner 5y ago
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