Machine Learning (CS-0135)

Spring 2027 · CS 0135 · Tufts University · 3 credits · Undergraduate

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. Presumes prior familiarity with Calculus I concepts including derivatives and the chain rule.

Course codes: CS-0135, CS 0135, CS0135, CS-135, CS 135, CS135

Remember: Changes made on aSIStant are NOT automatically carried over to SIS!
You must manually register AND enroll in courses on SIS after building your schedule here.

Course Discovery