Webinar Information
Start Date: Apr 27, 2021 - 06:00 PM UTC
Training a ML model requires that a developer capture, clean and label data. This requires a developer to not only carefully select their dataset, but also figure out how it will be processed on the target. In this session, we will explore how to identify, capture, clean and perform digital signal processing on the data prior to building an ML model.
Short Class Description (200 characters or less with no bullets/special formatting): In this session, we will explore how to identify, capture, clean and perform digital signal processing on the data prior to building an ML model.