CSCI0451A-F17
Machine Learning
Machine Learning
Machine Learning is the study and design of computational systems that automatically improve their performance through experience. This course introduces the theory and practice of machine learning and its application to tasks such as database mining, pattern recognition, and strategic game-playing. Possible topics include decision-tree methods, neural networks, Bayesian and statistical methods, genetic algorithms, and reinforcement learning. (CSCI 0200 and CSCI 0201) 3 hrs. lect./lab
Machine Learning is the study and design of computational systems that automatically improve their performance through experience. This course introduces the theory and practice of machine learning and its application to tasks such as database mining, pattern recognition, and strategic game-playing. Possible topics include decision-tree methods, neural networks, Bayesian and statistical methods, genetic algorithms, and reinforcement learning. (CSCI 0200 and CSCI 0201) 3 hrs. lect./lab
- Term:
- Fall 2017
- Location:
- McCardell Bicentennial Hall 632(MBH 632)
- Schedule:
- 1:45pm-2:35pm on Monday, Wednesday, Friday (Sep 11, 2017 to Dec 8, 2017)
- Type:
- Lecture
- Instructors:
- Daniel Scharstein
- Subject:
- Computer Science
- Department:
- Computer Science
- Division:
- Natural Sciences
- Requirements Fulfilled:
- DED
- Levels:
- Undergraduate
- Availability:
- View availability, prerequisites, and other requirements.
- Course Reference Number (CRN):
- 92293
- Subject Code:
- CSCI
- Course Number:
- 0451
- Section Identifier:
- A