Apple recently announced a partnership with IBM to integrate Core ML with Watson, initially allowing visual recognition to run locally on iOS devices. The ability to use machine learning while offline opens up a wide range of applications and use cases. Geared toward beginners (both in Swift and machine learning), this hands-on session will focus on providing an overview of machine learning and Core ML, implementing IBM Watson with Core ML, and techniques for continuous learning and model training. Additionally, we’ll cover the benefits of using machine learning locally and what’s in store for the future. By the end of the session, attendees will have a running iOS application written in Swift that uses visual recognition powered by Core ML and IBM Watson.