Machine Learning Application Design – Day 2

Training a ML model requires that a developer captureclean 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. This session will explore how to identify captureclean 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 captureclean and perform digital signal processing on the data prior to building an ML model.