| Course Title: Applications of Machine Learning |
| Start Date: 09/09/2026 End Date: 12/22/2026 |
| Term: Fall Semester 2026 |
| Description: This course provides a practical and conceptual introduction to machine learning. Through programming projects and work with real-world data, we will study the motivations behind common machine learning algorithms, and the properties that determine whether or not they will work well for a particular task. We will also study practical applications of these algorithms to problems in areas such as speech, language, social sciences, and biology. Topics may include: supervised learning, classification, regression, clustering, decision trees, support vector machines, Naïve Bayes, neural networks and reinforcement learning. |
| Distribution(s): II - Math & Sciences |
| Academic Level Of Course: Undergraduate | Credits:4.00 |
| Faculty | Phone | Email address |
| Heather Pon-Barry | ponbarry@mtholyoke.edu |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 09/09/2026 - 12/22/2026 | Lecture | Tuesday and Thursday | 10:30AM - 11:45AM | TBA | TBA | Weekly |
| Requisite Courses | ||
| Prereq: COMSC-205. | Take previously | Required |
| Comments |
| Additional Comments |
| Course Tags | ||
| DATA0003 | DATA-SE: Data Science Elective Course | This course is an elective option for the Data Science major. |
| NXDTA0001 | NXDTA: Nexus in Data Analytics and Society | This course is approved for the Data Analytics |
| Cross-listed Sections |
| None |
| Course Availability | ||||
| Section status: Waitlisted | Capacity: 14 | Enrollment: 13 | Available: 0 | Waitlist: 5 |
BOOK INFORMATION
| Book List | Required | Publisher Full Price |
| To be determined. |
| Additional Book Comments |
| This is NOT the complete book list for this class. |