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E9 205 Machine Learning for Signal Processing Linear Models for Regression and 23-09-2019 Classification Linear Regression Solution to Maximum Likelihood problem is the least squares solution Pseudo Inverse Based Solution Bishop - PRML

  1. E9 205 Machine Learning for Signal Processing Linear Models for Regression and 23-09-2019 Classification

  2. Linear Regression ❖ Solution to Maximum Likelihood problem is the least squares solution Pseudo Inverse Based Solution Bishop - PRML book (Chap 3)

  3. Choice of Basis Functions

  4. Regularized Least Squares ❖ Optimize a modified cost function Bishop - PRML book (Chap 3)

  5. Regularized Least Squares Bishop - PRML book (Chap 3)

  6. Choice of Regularization Parameter

  7. Choice of Regularization Parameter

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