CS 345 - Machine Learning Foundations and Practice

  • 3 credits
View available sections

Machine learning algorithms and tools for predictive modeling presented using case studies that inform their use in real-world applications. Credit not allowed for both CS 345 and DSCI 445 (Statistical Machine Learning).

Prerequisite

CS 165 (CS2 - Data Structures); with a C or better; CS 152 (Introduction to Programming (CS0-Python)); with a C or better or CS 220 (Discrete Strutures and their Applications); with a C or better; STAT 301 (Introduction to Applied Statistical Methods); with a C or better or Introduction to Biostatistics; with a C or better or STAT 315 (Intro to Theory and Practice of Statistics); with a C or better

Instructors

Asa Ben-Hur

9704914068 | Asa.Ben-Hur@colostate.edu

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