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Cross Validation in Machine Learning - Bias-Variance Trade-off and Validation Techniques

Cross Validation in Machine Learning - Bias-Variance Trade-off and Validation Techniques

NPTEL-NOC IITM via YouTube Direct link

Intro

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Intro

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Cross Validation in Machine Learning - Bias-Variance Trade-off and Validation Techniques

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  1. 1 Intro
  2. 2 Motivation
  3. 3 Bias-Variance trade-off on test data set
  4. 4 Training and Validation data sets
  5. 5 Validation Set Approach: Example
  6. 6 Sampling for small data sets
  7. 7 Leave-one-out-cross-validation (LOOCV)
  8. 8 LOOCV: Example
  9. 9 k-Fold Cross Validation
  10. 10 k-fold CV: Example

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