Statistical Aspect of Machine Learning II: Modern Techniques

Catalog description

Credits 3. 3 Lecture Hours. Second course in statistical machine learning; recursive partition and tree-based methods, artificial neural networks, support vector machines, reproducing kernels, committee machines, latent variable methods, component analysis, nonlinear dimensionality reduction and manifold learning, matrix factorization and matrix completion, statistical analysis of tensors and multi-indexed data. Prerequisites: STAT 612 , STAT 613 , and STAT 616 .