Section 2
Support Vector Machines
7. Introducing: Support Vector Machines
07:44 (Preview)
8. Support Vector Machines to Maximise Decision Margins 📂
25:06
9. A Code Walkthrough for SVMs 📂
32:55
10. Overlapping Classes and Kernel SVMs 📂
21:06
11. Experimenting with Overlapping Class Distributions 📂
25:33
12. Using Kernel SVMs for Non-Linear Predictions 📂
11:36
13. Support Vector Machines in the Wild 📂
17:16
14. Solving Regression Problems with SVMs
22:37
15. Comparing Least-Squares with SVM Regression 📂
56:07
16. Conclusion, Certificate, and What Next?
04:39
12. Using Kernel SVMs for Non-Linear Predictions
Support Vector Machines
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13. Support Vector Machines in the Wild