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INF 385T : Special Topics in Information Science: Foundations of Data Science

Areas

Skills

Topics

Instructor Description

This class explores various data science models, both traditional and the state of the art techniques. The course is designed to provide mathematical and computational basis such as Linear Algebra, Optimization techniques, and probabilistic modeling for different types of machine learning models. The goal of the class is provide a foundational basis for data science techniques. The class focuses on PSETs and a final data science project.

Prerequisites

Graduate standing.

Instructor Topic Title Year Semester Syllabus
Shounak Roychowdhury
Foundations of Data Science2024Fall TermSyllabus

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