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andrew

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  1. My YouTube Channel is Moving to Vimeo to Prevent You From Seeing AdvertisementsAndrew KelleyNotes
  2. Lecture 14 - EM Algorithm & Factor Analysis | Stanford CS229: Machine Learning Andrew Ng -Autumn2018Stanford CS229: Machine Learning led by Andrew Ng | Autumn 2018Notes
  3. Lecture 13 - Expectation-Maximization Algorithms | Stanford CS229: Machine Learning (Autumn 2018)Stanford CS229: Machine Learning led by Andrew Ng | Autumn 2018Notes
  4. Lecture 12 - Debugging ML Models and Error Analysis | Stanford CS229: Machine Learning (Autumn 2018)Stanford CS229: Machine Learning led by Andrew Ng | Autumn 2018Notes
  5. Lecture 10 - Introduction to Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)Stanford CS229: Machine Learning led by Andrew Ng | Autumn 2018Notes
  6. Lecture 11 - Backprop & Improving Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)Stanford CS229: Machine Learning led by Andrew Ng | Autumn 2018Notes
  7. Lecture 9 - Decision Trees and Ensemble Methods | Stanford CS229: Machine Learning (Autumn 2018)Stanford CS229: Machine Learning led by Andrew Ng | Autumn 2018Notes
  8. Discussion Section: Learning Theory | Stanford CS229: Machine Learning (Autumn 2018)Stanford CS229: Machine Learning led by Andrew Ng | Autumn 2018Notes
  9. Lecture 8 - Data Splits, Models & Cross-Validation | Stanford CS229: Machine Learning (Autumn 2018)Stanford CS229: Machine Learning led by Andrew Ng | Autumn 2018Notes
  10. Lecture 7 - Kernels | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)Stanford CS229: Machine Learning led by Andrew Ng | Autumn 2018Notes
  11. Lecture 6 - Support Vector Machines | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)Stanford CS229: Machine Learning led by Andrew Ng | Autumn 2018Notes
  12. Lecture 5 - GDA & Naive Bayes | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)Stanford CS229: Machine Learning led by Andrew Ng | Autumn 2018Notes
  13. Lecture 4 - Perceptron & Generalized Linear Model | Stanford CS229: Machine Learning (Autumn 2018)Stanford CS229: Machine Learning led by Andrew Ng | Autumn 2018Notes
  14. Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning - Lecture 3 (Autumn 2018)Stanford CS229: Machine Learning led by Andrew Ng | Autumn 2018Notes
  15. Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)Stanford CS229: Machine Learning led by Andrew Ng | Autumn 2018Notes
  16. Stanford CS229: Machine Learning Lecture 1 - Andrew Ng (Autumn 2018)Stanford CS229: Machine Learning led by Andrew Ng | Autumn 2018Notes
  17. Meta 3: Happy CodingNew Rustacean16:35Notes
  18. News: Rust 1.35New Rustacean18:18Notes
  19. CYSK: bindgen and cbindgenNew Rustacean18:10Notes
  20. e031: FFI Deep DiveNew Rustacean25:18Notes
  21. e030: Can You See Me Now?New Rustacean18:37Notes
  22. News: Rust 1.33 and 1.34New Rustacean18:58Notes
  23. e029: I’m Out to CNew Rustacean23:20Notes
  24. Bonus 14: How the Sausage Gets MadeNew Rustacean19:22Notes
  25. Bonus 13: I Still Make Silly MistakesNew Rustacean12:13Notes
  26. e028: Meet My AssociatesNew Rustacean23:07Notes
  27. News: Rust 1.32New Rustacean18:03Notes
  28. News: Rust 1.31 and the 2018 Edition, Part IINew Rustacean22:42Notes
  29. News: Rust 1.31 and the 2018 Edition, Part INew Rustacean20:54Notes
  30. Interview: Integer32New Rustacean41:01Notes
  31. e027: Trust Me; I Promise!New Rustacean21:27Notes
  32. News: Rust 1.29 and 1.30New Rustacean17:33Notes
  33. Bonus 12: Translating Between LanguagesNew Rustacean15:43Notes
  34. Bonus 11: BurnoutNew Rustacean27:11Notes
  35. News: Rust 1.28New RustaceanNotes
  36. e026: Functional Programming IdeasNew Rustacean18:33Notes
  37. e025: Traits Deep Dive, Part IIINew Rustacean20:36Notes
  38. News: Rust 1.27New Rustacean15:49Notes
  39. e024: Traits Deep Dive, Part IINew Rustacean20:33Notes
  40. CYSK: The wasm toolsNew Rustacean15:46Notes
  41. News: Rust 1.26New Rustacean17:27Notes
  42. e023: Traits Deep Dive, Part INew Rustacean20:33Notes
  43. News: Rust 1.25New Rustacean14:12Notes
  44. Bonus 10: “Becoming a Contributor”New Rustacean31:02Notes
  45. News: Rust 1.24New Rustacean18:28Notes
  46. CYSK: SerdeNew Rustacean12:29Notes
  47. e023: Send and SyncNew Rustacean20:36Notes
  48. Interview – Diesel 1.0, with Sean Griffin – Part 2New Rustacean31:01Notes
  49. Interview – Diesel 1.0, with Sean Griffin – Part 1New Rustacean31:57Notes
  50. News: Rust 1.23New Rustacean16:54Notes