Detailed Course Information |
Fall 2021
Apr 26, 2024 |
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| DSCI 340 - Applied Machine Learning |
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This course focuses on the application of machine learning algorithms applied to very large structured datasets. Topics include data preparation, pipeline construction, machine learning models and their hyperparameters, overfitting and underfitting, regularization, performance measurement, and application development in the cloud. Prerequisites: DSCI 230 and MATH 213. Three credit hours
3.000 Credit hours 3.000 Lecture hours Levels: Second Degree, Undergraduate Schedule Types: Lecture Math & Computing Department Prerequisites: (Undergraduate level DSCI 230 or Second Degree level DSCI 230) and (Undergraduate level MATH 213 or Second Degree level MATH 213) |
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