Arbormoon has released the slide for the talk Machine Learning and CoreML Framework: What the Robots are Really Thinking by Jeremy Barr (@JeremyBarr).
Overview: Machine Learning was the buzzword of 2016, and it hasn’t gotten any quieter this year. What is machine learning? Should it be done on-device, or in the cloud? Where do models come from? And is any of this really useful or will it be another passing fad like 3D televisions?
We’ll talk about the history of machine learning, learn where machine learning models really do come from, and how the major mobile players are incorporating it into their devices and ecosystems. We’ll take a deeper dive into Apple’s machine learning technology, CoreML, being released in iOS 11 and see how it can be used to create a very basic app that will try its best to accurately detect objects in images.
Speaker: Jeremy Barr (@JeremyBarr)
Biography: Jeremy is an iOS Developer at Domino’s and most recently working on the Domino’s Apple Watch app. Before witness protection, he was actually a Microsoft .NET developer but recently has been trying his hand at Swift. He enjoys motorcycles, flying airplanes, and almost every type of music ever played.