UMBC CMSC 478 Fall 2019
Introduction to Machine Learning

Welcome to CMSC 478 - Introduction to Machine Learning

This course provides an introduction to the foundations, theories, concepts, algorithms and techniques in Machine Learning. The course also offers hands-on examples with ML technologies to help students better understand theories and algorithms.

By the end of this course, students will be able to explain important concepts in Machine Learning. Students will also be able to implement introductory solutions to some of the most common problems in ML field.

Syllabus

Please download the latest version of the course syllabus from Blackboard.

Textbooks

Hands-On Machine Learning with Scikit-Learn and TensorFlow by Aurélien Géron.

Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville.

Time / Location

Tue-Thu 2:30PM - 3:45PM, Sherman Hall 015

Instructor

Fereydoon Vafaei
vafaei@umbc.edu
ITE 374
410-455-8776
Office Hours: Wednesdays 10:30AM - 11:45AM, Wednesdays 3:00PM - 5:45PM and by appointment.

Teaching Assistant

Madhav Ram Rajappan Seetharaman
fj37459@umbc.edu
ITE 344
Office Hours: Fridays 1:00PM - 3:00PM.