Advanced Data Analysis

This course is designed to provide students with skills in contemporary methods ofdata analysis used today in numerous fields. By the end of this course, students willbe able to apply machine learning techniques to data, and interpret and communicate their results. Students will learn how to use many popular machine learning algorithms. This is an applied machine learning class, which emphasizes the intuitions and know-how needed to get learning algorithms to work in practice, rather than the mathematical derivations.Topics covered in this class include supervised learning (classification,generative/discriminative learning, parametric/non-parametric learning, neuralnetworks, support vector machines, deep learning) and unsupervised learning(clustering, dimensionality reduction, kernel methods). We will also cover use ofunsupervised learning for exploratory data analysis and visualization of large multi-dimensional datasets.

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