- All Categories
- Featured Events
- Alumni
- Application Deadline
- Arts
- Campus Discourse
- Careers
- BU Central
- Center for the Humanities
- Charity & Volunteering
- Kilachand Center
- Commencement
- Conferences & Workshops
- Diversity & Inclusion
- Examinations
- Food & Beverage
- Global
- Health & Wellbeing
- Keyword Initiative
- Lectures
- LAW Community
- Meetings
- Orientation
- Other Events
- Religious Services & Activities
- Special Interest to Women
- Sports & Recreation
- Social Events
- Study Abroad
- Weeks of Welcome
- Coffee Chat with Your Friendly GMS Staff MemberAll day
- Community, COVID & Conflict: Navigating the hard stuff in this new world (2 Day Workshop)10:00 am
- IS&T Research Computing Boot Camp - Continuing with ArcGIS Online (NEED ACCOUNT)10:00 am
- IS&T Research Computing Boot Camp - Continuing with ArcGIS Online (HAVE ACCOUNT)10:00 am
- How to Craft a Winning Pitch Presentation12:30 pm
- How to Craft a Winning Pitch12:30 pm
- How to Craft a Winning Pitch Presentation12:30 pm
- How to Tackle Imposter Syndrome1:00 pm
- IS&T Research Computing Boot Camp - MATLAB - Hands-On Virtual Lab: Machine Learning 1:00 pm
- Exploring BU & CGS Resources4:00 pm
- Virtual Hypnotist8:00 pm
IS&T Research Computing Boot Camp - MATLAB - Hands-On Virtual Lab: Machine Learning
Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans and animals: learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model.Using MATLAB, engineers and other domain experts have deployed thousands of applications for predictive maintenance, sensor analytics, finance, and communication electronics.In this hands-on workshop, you will use MATLAB to: Learn the fundamentals of machine learning and understand terms like “supervised learning”, “feature extraction”, and “hyperparameter tuning” Build and evaluate machine learning models for classification and regression Perform automatic hyperparameter tuning and feature selection to optimize model performance Apply signal processing and feature extraction techniques
When | 1:00 pm to 3:00 pm on Tuesday, January 19, 2021 |
---|---|
Location | Zoom - Registered attendees will be emailed the Zoom link approximately two days before the tutorial |