Practical Artificial Intelligence with Swift : From Fundamental Theory to Development of Ai-Driven Apps
Language: English
Published by O'reilly Media Nov 2019, 2019
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 59.71
Quantity: 1 available
Add to basketItem description from seller
Neuware - 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 developerand 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 ToolsLearn AI basics, our task-based approach, and discover how to build or find a dataset.- II: Task Based AIBuild vision, audio, text, motion, and augmentation-related features; learn how to convert preexisting models.- III: BeyondDiscover 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. …
Seller Inventory # 9781492044819
- Title
- Practical Artificial Intelligence with Swift : From Fundamental Theory to Development of Ai-Driven Apps
- Author
- Jonathon Manning
- Publisher
- O'reilly Media Nov 2019
- Publication year
- 2019
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1492044814
- ISBN 13
- 9781492044819
- Item weight
- 911 grams
- Dimensions
- 233x177x33 mm
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
"Synopsis" may belong to another edition of this title.
About the Author
A compulsive volunteer at industry events, Mars also teaches artificial intelligence to first-year ICT students, hikes around in the Tasmanian wilderness, dabbles in research, and builds Game of Thrones in Minecraft.
Mars has been awarded the MJ Rees Prize (for excellence in Information Systems academia) at the University of Tasmania, and is an Apple WWDC Scholarship recipient for 2018. Mars is on the organising committee for Australia's longest running Apple developer event, the /dev/world conference (which is now in its 11th year), and serves on the board for her state's branch of the Australian Computer Society (ACS).
Jon is co-founder and technical lead at Secret Lab, a decade-old game development studio based in Tasmania, Australia. He holds a Bachelor of Computing with First Class Honours and earned a PhD in Computer Science/HCI for his exploration how people manipulate content ranking algorithms in social media.
Secret Lab builds video games and mobile apps, including original game concepts and games under contract for other developers and publishers. Secret Lab is best known for their work on the Australian Broadcasting Corporation's Play School games, the Qantas Joey Playbox, and Night in the Woods. Secret Lab's work has won numerous Tasmania, Australian, and international awards, including BAFTA awards, IGF awards, AIMIA awards, iAwards, and TasICT awards.
Jon formerly worked as a Software Engineering at Meebo, a groundbreaking Silicon Valley 'Web 2.0' startup that was acquired by Google, and has co-authored more than 20 technical books for iconic publishers, such as O'Reilly Media and Wiley's For Dummies, on a variety of topics such as game design, mobile development, and rocket science.
Jon and his Secret Lab co-founder, Paris, were jointly awarded the 2010 Pearcey Award for innovative achievements within the ICT industry. Jon sits on the board of the Australasian Apple University Consortium, and is on the organising committee of Australia's longest running Apple developer event, the /dev/world conference (which is now in its 11th year). Jon lives in Hobart, Tasmania, Australia, and can be found on Twitter (@desplesda)
Paris Buttfield-Addison is a producer and co-founder at Secret Lab, a mobile development studio based in beautiful Hobart, Australia. Secret Lab builds games for mobile devices, and primarily for children, such as the AIMIA winning (2014) ABC Play School apps for iPad.
Paris formerly worked with Meebo (which was acquired by Google) as mobile product manager. He has a BA in History, and a PhD in Computing/HCI, and has written nearly a dozen technical, game design, and mobile development books, mostly for O'Reilly Media.
Paris can be found on Twitter @parisba. He still thinks digital watches are a pretty neat idea.
For more info visit Secret Lab or paris.id.au.
Tim Nugent pretends to be a mobile app developer, game designer, PhD student, and now he even pretends to be an author. When he isn't busy avoiding being found out as a fraud, he spends most of his time designing and creating little apps and games he won't let anyone see. Tim spent a disproportionately long time writing this tiny little bio, most of which was spent trying to stick a witty sci-fi reference in, before he simply gave up. Tim can be found as @The_McJones on Twitter.
"About the title" may belong to another edition of this title.
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