Course instructors: Prof. Preet Kanwal, Prof. Preethi P
Syllabus and Class Notes
| Unit | Syllabus | Vibha’s Notes |
|---|---|---|
| Unit 1 | Search Algorithms, Classification, Decision trees, Performance metrics | MI Unit 1.pdf |
| Unit 2 | Supervised learning with kNN, Neural Networks, SVM | MI Unit 2.pdf |
| Unit 3 | Boosting and Stochastic Models, Bayesian learning | Bayesian Learning.pdf Hidden Markov Models.pdf Ensemble Models.pdf |
| Unit 4 | Unsupervised Learning, Dimensionality Reduction, Genetic Algorithms | Expectation Maximization.pdf Dimensionality Reduction.pdf Clustering.pdf Genetic Algorithms.pdf Particle Swarm Optimization.pdf |
| Unit 5 | Deep Learning, CN, RNN, Optimizers | Convolutional Neural Networks.pdf LSTM and GRU.pdf Optimizers.pdf Regularization.pdf Recurrent Neural Networks.pdf |