CSCI0451A-S24
Machine Learning
Machine Learning
Machine learning algorithms detect patterns in data and use these patterns to make decisions. This course introduces the theory and practice of machine learning. Tasks considered may include classification, regression, clustering, dimensionality reduction, text embedding, and reinforcement learning. Applications may include predictive analytics, data visualization, pattern recognition, and strategic game-playing. We will also discuss the social implications of automated decision systems. This course fulfills the Responsible Computing requirement for the Computer Science major. (Not open to students who have already taken CSCI 1051.) (CSCI 0200 and CSCI 0201 and MATH 0200) 3 hrs. lect./lab
Machine learning algorithms detect patterns in data and use these patterns to make decisions. This course introduces the theory and practice of machine learning. Tasks considered may include classification, regression, clustering, dimensionality reduction, text embedding, and reinforcement learning. Applications may include predictive analytics, data visualization, pattern recognition, and strategic game-playing. We will also discuss the social implications of automated decision systems. This course fulfills the Responsible Computing requirement for the Computer Science major. (Not open to students who have already taken CSCI 1051.) (CSCI 0200 and CSCI 0201 and MATH 0200) 3 hrs. lect./lab
- Term:
- Spring 2024
- Location:
- 75 Shannon Street 203(75SHS 203)
- Schedule:
- 12:45pm-2:00pm on Tuesday, Thursday (Feb 12, 2024 to May 13, 2024)
- 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):
- 22170
- Subject Code:
- CSCI
- Course Number:
- 0451
- Section Identifier:
- A