Introduction to Machine Learning
CS 0135
Course Description
An overview of methods whereby computers can learn from data or experience and make decisions accordingly. Topics include supervised learning, unsupervised learning, reinforcement learning, and knowledge extraction from large databases with applications to science, engineering, and medicine. Recommendations: CS 160 is highly recommended.
Basic Enrollment Requirements:
Academic Year (Fall/Spring): Unofficial Transcript – Bachelor’s Degree or progress towards a Bachelor’s Degree + 3.0 GPA.
Summer Session: None.
Refund Policy: The refund policy for Courses at Tufts offerings is dependent on the course length. Please refer to the section details to confirm any exceptions to the standard refund policy. The refund policies are viewable here: https://universitycollege.tufts.edu/policies#Refunds
Remission Eligible: Yes; all university policies apply.
Affiliated With:
- School of Engineering