CS3332: Applied Machine Learning - NPS Online
Applied Machine Learning
Course #CS3332
Est.imated Completion Time: 3 months
POC: NPS Online Support
Overview
Survey of machine-learning techniques of artificial intelligence with a particular focus on military applications. Topics include types of machine learning, training and testing of machine learning, data preparation, decision trees, Bayesian reasoning, linear models, neural networks, case-based reasoning, and reinforcement learning. Each method will be related to important military and government applications. This course is intended for students who are not computer-science majors.
Included in degrees & certificates
- 128
- 367
Prerequisites
- CS3331
Learning Outcomes
- Identify and distinguish the major methods of machine learning.
- Be able to prepare data for effective use of machine-learning methods.
- Be able to run machine-learning methods on a standard tool.
- Be able to interpret output of machine-learning methods, and draw valid conclusions from it.
- Understand the major terms used to describe machine learning.
- Be able to use machine-learning tools.
- Be able to draw conclusions from results of machine learning.

Application Deadlines
-
08 Jan 2024
Spring Quarter applications due
-
01 Apr 2024
Summer Quarter applications due
-
08 Jul 2024
Fall Quarter applications due
Academic Calendar
-
12 Dec 2023 – 14 Dec 2023
Fall Quarter final examinations
-
15 Dec 2023
Fall Quarter graduation
-
18 Dec 2023 – 05 Jan 2024
Winter break
See NPS Academic Calendar for more dates.