COMP3920F: Applied Machine Learning - Fall 2021

Date

2021-09

Journal Title

Journal ISSN

Volume Title

Publisher

YU Faculty Profile

Abstract

Overview: This course provides an introduction to the practice and theory of machine learning. Upon successful completion of this course you will understand how to apply machine learning to real world problems through proper model and model metric selection. You will also gain experience implementing a real machine learning project leveraging what you have learned in the course. This course covers a wide variety of machine learning topics balancing between theory of machine learning and practical applied skills. The course will involve writing Python code both for labs, home, and exams, however, students are expected to be competent in Python programming through prior programming or independent study. Additionally, students are expected to have a good grasp of

Description

SCW syllabus / YU only

Keywords

Machine Learning

Citation

Glassman, Zachary. (2021, Fall), Syllabus, COMP3920F: Applied Machine Learning, Stern College for Women, Yeshiva University.