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Summer 2020

Mathematics (MATH)
MATH 156 - Machine Learning

Lecture: Lec 1

Class ID: 262580110

Class Website: https://ccle.ucla.edu/course/view/201A-MATH156-1

Day(s)

Time in Pacific Time

Location

Open: 14 of 40 Left

0 of 20 Taken

9am-10:50am

4.0

Haddock, J.

Final Exam Information

Date

Day

Time

Location(s)

None listed

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Consult instructor for method of evaluation

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Enrollment Information

Grade Type

Individual Studies

Level

Letter Grade or Passed/ Not Passed

Class:
Instructor Consent

No

N/A

Upper Division

Course Description

Lecture, three hours; discussion, one hour. Requisites: courses 115A, 164, 170A or 170E or Statistics 100A, and Computer Science 31 or Program in Computing 10A. Strongly recommended requisite: Program in Computing 16A or Statistics 21. Introductory course on mathematical models for pattern recognition and machine learning. Topics include parametric and nonparametric probability distributions, curse of dimensionality, correlation analysis and dimensionality reduction, and concepts of decision theory. Advanced machine learning and pattern recognition problems, including data classification and clustering, regression, kernel methods, artificial neural networks, hidden Markov models, and Markov random fields. Projects in MATLAB to be part of final project presented in class. P/NP or letter grading.

Class Description

None

General Education (GE)

This class does not satisfy any GE requirements.

Writing II

This class does not satisfy the undergraduate Writing II requirement.

Diversity

This class does not satisfy any College/School diversity requirement.

Class Notes

  • College of Letters and Science

Department

Mathematics

Library Reserve

http://catalog.library.ucla.edu/vwebv/enterCourseReserve.do

Materials Use Fee

0.00