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CP341 – Topics in Computer Science: Machine Learning

An investigation into the computer.


Assistant Professor Matthew Whitehead email

In Topics in Computer Science: Machine Learning, students will think about how computers can be programmed to learn and improve from past experiences. Allowing students to build complex systems that are flexible and superior to rigid, hand-crafted programs, the class will learn algorithms and work on a variety of projects including: programs that automatically write other programs themselves, vision processing programs for steering a robotic car along a trail, board game-playing programs that improve by playing hundreds of thousands of games against themselves, and a program to generate natural language text.

Brain map image attributed to StackVis ™ and developed by Issac Trotts in the labs of Edward G. Jones.

Prerequisite: CP 342 or CP 344