Applied Methods in Machine Learning
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Overview
Subject area
CST
Catalog Number
3529
Course Title
Applied Methods in Machine Learning
Description
Developing machine-learning applications for knowledge-based systems, agent systems and business strategies. Basic techniques for building intelligent computer systems and that learn from data to solve simple to complex real world problems. Includes neural networks, decision processes, graphic models and regressions. Technical requirements: basic knowledge of Python programming and algorithms.
Pre- or Corequisite
035056
Liberal Arts
No
Department(s)
Credits
Minimum
3
Max
3
Components
Name
Laboratory
Contact Hours
2
Name
Lecture
Contact Hours
2