CSCI0451A-S23
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. Not open to students who have already taken CSCI 1051.) (CSCI 0200 and CSCI 0201 and MATH 0200) 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. Not open to students who have already taken CSCI 1051.) (CSCI 0200 and CSCI 0201 and MATH 0200) 3 hrs. lect./lab
- Term:
- Spring 2023
- Location:
- 75 Shannon Street 203(75SHS 203)
- Schedule:
- 12:45pm-2:00pm on Monday, Wednesday (Feb 13, 2023 to May 15, 2023)
- Type:
- Lecture
- Course Modality:
- In-Person
- Instructors:
- Phil Chodrow
- 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):
- 22800
- Subject Code:
- CSCI
- Course Number:
- 0451
- Section Identifier:
- A