February 2018
Intermediate to advanced
378 pages
10h 14m
English
Content preview from Machine Learning with Swift
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Using ML to build smarter iOS applications
As we know from press reports, Apple uses ML for fraud detection, and to mine useful data from beta testing reports; however, these are not examples visible on our mobile devices. Your iPhone itself has a handful of ML models built into its operating system, and some native apps helping to perform a wide range of tasks. Some use cases are well known and prominent while others are inconspicuous. The most obvious examples are Siri speech recognition, natural language understanding, and voice generation. Camera app uses face detection for focusing and Photos app uses face recognition to group photos with the same person into one album. Presenting the new iOS 10 in June 2016, Craig Federighi mentioned ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.