COL774
| COL774 | |
|---|---|
| Machine Learning | |
| Credits | 4 |
| Structure | 3-0-2 |
| Pre-requisites | MTL106 OR Equivalent |
| Overlaps | COL341 ELL784, ELL888 |
COL774 : Machine Learning
[edit]Supervised learning algorithms: Linear and Logistic Regression, Gradient Descent, Support Vector Machines, Kernels, Artificial Neural Networks, Decision Trees, ML and MAP Estimates, K-Nearest Neighbor, Naive Bayes, Introduction to Bayesian Networks. Unsupervised learning algorithms: K-Means clustering, Gaussian Mixture Models, Learning with Partially Observable Data (EM). Dimensionality Reduction and Principal Component Analysis. Bias Variance Trade- off. Model Selection and Feature Selection. Regularization. Learning Theory. Introduction to Markov Decision Processes. Application to Information Retrieval, NLP, Biology and Computer Vision. Advanced Topics.