100% Plagiarism-Free
+1-727-416-5453

Sign In

Access your dashboard and order activity.

Forgot password?

Create Account

Register to place orders and track every step.

EE 4630

Machine Learning Principles and Application

California State University, Los Angeles 3 credits EE

Course Description

Review of linear algebra and probability theory, statistical inference, feature extraction, clustering, classification, independent component analysis, time series modeling, regression analysis, curve fitting, model extraction, neural networks, fuzzy logic. Prerequisite: (EE 3020 and EE 3040 ) or admission to the Electrical Engineering, M.S. program Needs Permission to Enroll: No University Requirement Designation(s): (wi) Writing Intensive Course [3]

Code
EE 4630
Credits
3
Subject
EE

Programs That Include This Course

Get expert help with EE 4630 Machine Learning Principles and Application

Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β€” written from scratch to your course requirements.

Get Help Now

Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.

Academic Resources

Latest from the Blog

Expert guides on essay writing, citation styles, study skills, and academic success.

View All Articles