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
Asset Publisher

Academic Calendar

  •  09 Jun 2023

    Spring quarter last day of classes

  •  13 Jun 2023

    Spring quarter final examinations begin

  •  15 Jun 2023

    Spring quarter final examinations end