ISE 133 - Data Analysis and Machine Learning for Industrial Systems

3 unit(s)
An introduction to data analysis and machine learning concepts together with practical tools for their execution. Basic steps of data analysis, such as data collection, data understanding, data preparation, data visualization and fundamental machine learning techniques such as regression, classification and unsupervised learning and their applications in industrial systems.

Prerequisite(s): ISE 194 or equivalent programing course by instructor consent.
Grading: Letter Graded

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