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Unread book in perfect condition.

Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting. 1.34

Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting. 0.63

The Apple Watch looks pretty snazzy, right? People have told you all about the cool features: like if you fall it will automatically call for help! But how do you use it?!It looks nothing like the iPhone or iPad interface you are used to--except for a handful of icons. If you are lost and don't have a lot of time to comb through thousands of pages of tech-speak just to learn how to use a watch, then this book is for you!This book is based on the book "The Ridiculously Simple Guide to Apple Watch Series 3" but includes sections specifically for seniors (including accessibility features that make text easier to see).Are you ready to start enjoying your new Apple Watch? Then let's get started!

Create and implement AI-based features in your Swift apps for iOS, macOS, tvOS, and watchOS. With this practical book, programmers and developers of all kinds will find a one-stop shop for AI and machine learning with Swift. Taking a task-based approach, you’ll learn how to build features that use powerful AI features to identify images, make predictions, generate content, recommend things, and more.AI is increasingly essential for every developer—and you don’t need to be a data scientist or mathematician to take advantage of it in your apps. Explore Swift-based AI and ML techniques for building applications. Learn where and how AI-driven features make sense. Inspect tools such as Apple’s Python-powered Turi Create and Google’s Swift for TensorFlow to train and build models.I: Fundamentals and Tools—Learn AI basics, our task-based approach, and discover how to build or find a dataset.II: Task Based AI—Build vision, audio, text, motion, and augmentation-related features; learn how to convert preexisting models.III: Beyond—Discover the theory behind task-based practice, explore AI and ML methods, and learn how you can build it all from scratch... if you want to