Support Vector Machines - A Friendly Introduction

Support Vector Machines - A Friendly Introduction

Serrano.Academy via YouTube Direct link

Which line is better?

11 of 14

11 of 14

Which line is better?

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Support Vector Machines - A Friendly Introduction

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  1. 1 Introduction
  2. 2 Classification goal: split data
  3. 3 Perceptron algorithm
  4. 4 Split data - separate lines
  5. 5 How to separate lines?
  6. 6 Expanding rate
  7. 7 Perceptron Error
  8. 8 SVM Classification Error
  9. 9 Margin Error
  10. 10 Challenge - Gradient Descent
  11. 11 Which line is better?
  12. 12 The C parameter
  13. 13 Series of 3 videos
  14. 14 Thank you!

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