UMBC CMSC 478 Fall 2019
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Welcome to CMSC 478 - Introduction to Machine LearningThis 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. SyllabusPlease download the latest version of the course syllabus from Blackboard. TextbooksHands-On Machine Learning with Scikit-Learn and TensorFlow by Aurélien Géron. Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville. Time / Location
Instructor
Teaching AssistantMadhav Ram Rajappan Seetharaman
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