CSE6512

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Advanced Machine Learning

3 Credit Hour Course

Intended For Level 0 Term 0 Students

Prerequisite:

Review of machine learning basics; Gradient-based optimization; Supervised learning: linear regression, logistic regression, decision trees, support vector machines, generalized linear models; Neural networks and deep learning; Ensemble learning; Unsupervised learning: clustering; Expectation Maximization (EM) algorithm; Dimensionality reduction; Non-parametric learning and bayesian inference; Reinforcement learning; Learning theory: asymptotic analysis, concentration inequalities, generalization bounds, uniform convergence; Theoretical analysis of deep learning; Self-supervised learning; Advanced learning techniques.