TOPICS: MACHINE LEARNING in Fall 2022 (CS3091A)

This course will start by introducing various concepts in data sciences and the linkage of data science to other fields such as mathematics, sciences, operations research or businesses. Students will be introduced to popular machine learning models and implementation techniques in python, R and/or other languages. Students will learn to create machine learning models to conduct predictive and prescriptive analytics using supervised, unsupervised, and deep learning methods on different data types such as structured (spreadsheet, table) and unstructured (text, images). The course is based on examples, tutorials and projects in various domains such as physics, astrophysics, geology, quantitative environmental science, economics, language processing.