Learn · Introduction to Data Analytics

Lecture 33 of 49Week 5 - Supervised Learning (Regression and Classification Techniques) - I

Support Vector Machines and Kernel Transformations

Prof. Nandan Sudarsanam and Prof. Balaraman Ravindran · IIT Madras

Credits and licence

From
Introduction to Data Analytics, IIT Madras (at NPTEL)
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
Who can watch
Tweens profiles and older. How courses are placed

All the lectures

  1. Course Overview Video
  2. Course Overview (cont\'d) Video
  3. Descriptive Statistics - Graphical Approaches Video
  4. Descriptive Statistics - Measures of Central Tendency Video
  5. Descriptive Statistics - Measures of Dispersion Video
  6. Random Variables and Probability Distributions Video
  7. Probability Distributions(cont\'d) Video
  8. Probability Distributions(cont\'d) Video
  9. Inferential Statistics - Motivation Video
  10. Inferential Statistics - Single sample tests Video
  11. Two Sample tests Video
  12. Type 1 and Type 2 Errors Video
  13. Confidence Intervals Video
  14. ANOVA and Test of Independence Video
  15. Short Introduction to Regression Video
  16. Introduction to Machine Learning Video
  17. Supervised Learning Video
  18. Unsupervised Learning Video
  19. Ordinary Least Squares Regression Video
  20. Simple and Multiple Regression in Excel and Matlab Video
  21. Regularization/ Coefficients Shrinkage Video
  22. Data Modelling and Algorithmic Modelling Approaches Video
  23. Tutorial on Weka Video
  24. Logistic Regression Video
  25. Training a Logistic Regression Classifier Video
  26. Classification and Regression Trees Video
  27. Classification and Regression Trees(cont\'d) Video
  28. Bias Variance Dichotomy Video
  29. Model Assessment and Selection Video
  30. Support Vector Machines Video
  31. Support Vector Machines(cont\'d) Video
  32. Support Vector Machines for Non Linearly Separable Data Video
  33. Support Vector Machines and Kernel Transformations Video
  34. Tutorial on Decision Trees Video
  35. Ensemble Methods and Random Forests Video
  36. Artificial Neural Networks Video
  37. Artificial Neural Networks(cont\'d) Video
  38. Deep Learning Video
  39. Associative Rule Mining Video
  40. Association Rule Mining (cont\'d) Video
  41. Big Data, A small introduction Video
  42. Big Data - A small introduction (cont\'d) Video
  43. Clustering Analysis Video
  44. Clustering Analysis (cont\'d) Video
  45. Introduction to Experimentation and Active Learning Video
  46. Introduction to Experimentation and Active Learning(cont\'d) Video
  47. An Introduction to Online Learning - Reinforcement Learning Video
  48. An Introduction to Online Learning - Reinforcement Learning (cont\'d) Video
  49. Summary+ Insights into the Final Exam Video