|
Mar 28, 2024
|
|
|
|
CS 3120 - Machine Learning
Credits: 4
Prerequisite(s): CS 2050 or MTH 2520, MTH 2140, and MTH 3210 all with a grade of “C-” or better
Description: Machine learning is the ability of computers to learn without explicitly programming an algorithm. Machine learning techniques learn about hyper-dimensional spaces with either explicit direction or implicit reinforcement. This course covers a variety of machine learning techniques and their application to actual data. Topics include the clustering of data and the retrieval of related data, the use of machine learning for recommender systems, and the creation of deep learning systems. This course includes both the underlying theory of machine learning and the creation of machine learning software for real-world problems.
Note: Course created July 6, 2018
Add to Portfolio (opens a new window)
|
|