OS4118: Statistical and Machine Learning - NPS Online
Statistical and Machine Learning
Course #OS4118
Est.imated Completion Time: 3 months
POC: NPS Online Support
Overview
This course introduces students to the art and science of statistical and machine learning to find patterns in large and "Big" data. The focus is on the strengths and weaknesses of learning techniques and their implementation. Fundamental ideas common to learning methods are covered, and supervised/unsupervised techniques are introduced. These techniques include: re-sampling methods, advanced clustering and visualization, tree-based ensembles, stochastic gradient boosting, deep neural networks, auto-encoding and other dimension reduction techniques, and applications to natural language processing. The software package R and high-performance parallel or distributed computing will be used to demonstrate these techniques.
Included in degrees & certificates
- 268
- 367
Prerequisites
- OA4106

Academic Calendar
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09 Jun 2023
Spring quarter last day of classes
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13 Jun 2023
Spring quarter final examinations begin
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15 Jun 2023
Spring quarter final examinations end