Subject/Course Search Results

CSE 404  Introduction to Machine Learning (Interim New)


Semester
Fall of every year
Credits
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite
(CSE 331) and (STT 351 or STT 380 or STT 430 or STT 441)
Recommended Background
Basic linear algebra
Restrictions
Open to juniors or seniors in the College of Engineering or in the Computer Science Minor or in the Lyman Briggs Computer Science Coordinate Major or in the Lyman Briggs Computer Science Major.
Description
Core principles and techniques of machine learning. Supervised, semi-supervised, and unsupervised learning. Machine learning model design. Programming machine learning algorithms.
Interdepartmental With
Computer Science and Engineering, Statistics and Probability
Administered By
Computer Science and Engineering
Effective Dates
FALL 2019 - Open