MLT | Notes
Notes for the MLT course by professor Arun Rajkumar. The source of these notes are the set of lectures recorded by professor Arun.
WeekContent
Notation
Week-1PCA
Week-2Kernel PCA
Week-3K-Means
Week-4Estimation, MLE, Bayesian, EM algorithm
Week-5Linear regression, Kernel regression
Week-6Regularization, Ridge and Lasso regression
Week-7Classification, KNN, Decision Trees
Week-8Discriminative and generative models, Naive Bayes
Week-9Perceptron, Logistic Regression
Week-10Hard-Margin SVM
Week-11Soft-Margin SVM, Bagging, Boosting, AdaBoost
Week-12Loss functions for classification, Neural networks