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SENG 309 - Intro to Machine Learning

In algorithm design, we start with a rule that we have already discovered then we build a program to apply it to the data to get the desired solution. Sometimes, this is not easy. Sometimes the data we have is too large, diverse or cannot be investigated by a human expert to extract a rule. The rule might be hidden somewhere in the details. Machine learning offers an alternative, where you let the machine discover the rules automatically through inspecting the data that you have. This course introduces major ML concepts (including supervised, unsupervised and reinforcement learning, in addition to practical real life problems to utilize them. Typically offered Spring only.
Level: UG
Credit Hours: 3

Prerequisite SENG 102 /D- Or ISYS 216 /D- Or ISYS 110 /D-
Ferris Equivalencies:

Department: SDGM


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