Adaptive system and machine learning algorithms. Topics include discriminants learning, pattern recognition, supervised and unsupervised learning, reinforcement learning, kernel machines for classification, regression, information retrieval, generative classifiers, deep learning machines, applications in adaptive controls and filters, signal processing, forecasting, and pattern recognition.
Prerequisite
ECE 303/STAT 303 (Introduction to Communications Principles with a minimum grade of C); ECE 312 (Linear System Analysis II) with a minimum grade of C; Junior standing.
Textbooks and Materials
Please check the
CSU Bookstore for textbook information. Textbook listings are available at the
CSU Bookstore about 3 weeks prior to the start of the term.
Instructors
