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|CS 37300 - Data Mining And Machine Learning|
Credit Hours: 3.00. This course will introduce students to the field of data mining and machine learning, which sits at the interface between statistics and computer science. Data mining and machine learning focuses on developing algorithms to automatically discover patterns and learn models of large datasets. This course introduces students to the process and main techniques in data mining and machine learning, including exploratory data analysis, predictive modeling, descriptive modeling, and evaluation. Typically offered Fall Spring.
3.000 Credit hours
Levels: Graduate, Professional, Undergraduate
Schedule Types: Distance Learning, Lecture
Offered By: College of Science
Department: Computer Science
May be offered at any of the following campuses:
Learning Outcomes: 1. Identify key elements of data mining and machine learning algorithms. 2. Understand how algorithmic elements interact to impact performance. 3. Understand how to choose algorithms for different analysis tasks. 4. Analyze data in both an exploratory and targeted manner. 5. Implement and apply basic algorithms for supervised and unsupervised learning. 6. Accurately evaluate the performance of algorithms, as well as formulate and test hypotheses.