CSCI 744 - Pattern Recognition and Machine Learning

3 Credits
This course will look at the algorithms and concepts that are popular in the fields of data mining and machine learning. Topics covered may include deep learning, convolutional neural networks, linear and nonlinear models for classification, kernel methods, support vector machines, and dimensionality reduction techniques.

Fees: Additional course fees apply.
Course Learning Outcomes:
1. Apply algorithms for statistical pattern recognition.
2. Analyze recent advances in pattern recognition and machine learning.
3. Evaluate general machine learning paradigms.
4. Analyze probability theory and its application to pattern classification.