XI "BILL" CHEN, Ph.D., MA, is a senior software engineer developing simulation apps with Python and optimizing data collection pipelines at Meta. He defines roadmaps and machine learning and deep learning applications, synthetic data generation, and performs user data integrity and anomaly analysis while collaborating with multiple teams to increase ML development velocity. Formerly he was a certified instructor at the Nvidia Deep Learning Institute, where he trained developers and data scientists, organized workshops on various topics, and facilitated research on using AI and GPU computing to solve real-world problems. He has also worked as a lead computational biologist, ML engineer and data scientist. He has a doctorate in Philosophy in Bioinformatics and a master's degree in Statistics from the University of Kentucky.
Xi "Bill" Chen's courses currently open for enrollment
Introduction to Machine Learning
AISV.X400
$980
Jan. 12 - Mar. 16, Tuesday, 6:00pm - 9:00pm
- Live-Online Attend via Zoom at scheduled times.
AISV.X400.(48)
Schedule
| Date | Start Time | End Time | Meeting Type | Location |
|---|---|---|---|---|
| Tue, 01-12-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 01-19-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 01-26-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 02-02-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 02-09-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 02-16-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 02-23-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 03-02-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 03-09-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
| Tue, 03-16-2027 | 6:00pm | 9:00pm | Live-Online | REMOTE |
This class is offered in an online synchronous format. Students are expected to log into this course via Canvas at the start time of scheduled meetings and participate via Zoom, for the duration of each scheduled class meeting.
To see all meeting dates, click “Full Schedule” below.
You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
Required Tools & Materials: None
Recommended Programming Environment: Python, either local computer or Google Colab. Prefer GPU setup.
|| Prerequisites:
Prerequisites / Skills Needed