Skip to main content

CS570Machine Learning

Course Prerequisites ToolSNHU CS570 has 1 direct prerequisite, with 2 courses in its complete prerequisite tree, and is required by 3 other courses.

Graduate · 3 credits

The Machine Learning course will provide students with a comprehensive introduction to the core algorithms and techniques of machine learning, including data preprocessing techniques, training, and model evaluation. Students will learn how to manipulate, clean, and transform raw data into a suitable format for input into machine learning algorithms. Students will learn to select machine learning algorithms, including simple neural networks, for particular applications. This course will provide opportunities for students to apply their knowledge and skills in practical exercises with a focus on creating solutions with machine learning technology.

Prerequisite Tree

  • CS530Artificial Intelligence (AI) Principles and Applications
    • CS500Introduction to Programming

This Course Is Also a Prerequisite For

Interactive Prerequisite Graph

Explore the prerequisite relationships visually. The graph below supplements the crawlable list above.

Unofficial — For Informational Purposes Only

This site is unofficial and is intended for informational purposes only. Course requirements, transfer evaluations, catalog rules, and program requirements can change. Always confirm your academic plan with your SNHU advisor for official guidance.