CHE 586 Process Data Analytics and Machine Learning
Units: 4 Terms Offered: SpData analytics, machine learning and optimization tools for engineers and skills to apply them for interpretation of industrial data as well as for decision-making. Recommended Preparation: Basic linear algebra (on the level of MATH 225). Probability theory and statistics (on the level of MATH 114 or MATH 307). Able to perform linear algebra operations using MATLAB or Python. Instruction Mode: Lecture Grading Option: Letter
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