Go to Main Content

Purdue Self-Service

 

HELP | EXIT

Detailed Course Information

 

Fall 2014
Apr 13, 2021
Transparent Image
Information Select the desired Level or Schedule Type to find available classes for the course.

CS 57800 - Statistical Machine Learning
Credit Hours: 3.00. This introductory course will cover many concepts, models, and algorithms in machine learning. Topics include classical supervised learning (e.g., regression and classification), unsupervised learning (e.g., principle component analysis and K-means), and recent development in the machine learning field such as variational Bayes, expectation propagation, and Gaussian processes. While this course will give students the basic ideas and intuition behind modern machine learning methods, the underlying theme in the course is probabilistic inference. Typically offered Fall.
3.000 Credit hours

Syllabus Available
Levels: Graduate, Professional, Undergraduate
Schedule Types: Lecture

Offered By: College of Science
Department: Computer Science

Course Attributes:
Upper Division

May be offered at any of the following campuses:     
      West Lafayette

Repeatable for Additional Credit: Yes - May be repeated up to 2 times

Learning Outcomes: 1. Have students prepared to either conduct PhD research in the machine learning area or apply it to other application domain, such as computational biology, materials science and social science.


Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate

Short Title: Statistical Machine Learning

Course Configurations:

Configuration 1: 3.0 Credits
Schedule Type Weekly Contact Hours Instructional Credit Distribution
Lecture 3 3.0

Transparent Image
Skip to top of page
Release: 8.7.2