Introduction to Machine Learning and Data Mining

Course #CS4315

Est.imated Completion Time: 3 months

Overview

A survey of methods by which software and hardware can improve their performance over time. Topics include data manipulation, concept learning, association rules, decision trees, Bayesian models, simple linear models, case-based reasoning, genetic algorithms, and finite-state sequence learning. Students will do projects with software tools. Prerequisites: One college-level course in programming.

Included in degrees & certificates

  • 268
  • 367

Prerequisites

  • CY3650
Offerings database access
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Application Deadlines

  •  08 Jan 2024

    Spring Quarter applications due

  •  01 Apr 2024

    Summer Quarter applications due

  •  08 Jul 2024

    Fall Quarter applications due

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Academic Calendar

  •  08 Dec 2023

    Last day of classes

  •  12 Dec 2023 – 14 Dec 2023

    Fall Quarter final examinations

  •  15 Dec 2023

    Fall Quarter graduation

See NPS Academic Calendar for more dates.