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Practical artificial intelligence with Swift : from fundamental theory to development of AI-driven apps /
Create and implement AI- and ML-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. You'll learn how to build features that use powerful AI softwa...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, CA :
O'Reilly Media,
2019.
|
| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Geldard, Mars, |e author. | |
| 245 | 1 | 0 | |a Practical artificial intelligence with Swift : |b from fundamental theory to development of AI-driven apps / |c Mars Geldard, Jonathon Manning, Paris Buttfield-Addison, and Tim Nugent. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Sebastopol, CA : |b O'Reilly Media, |c 2019. | |
| 264 | 4 | |c ©2020 | |
| 300 | |a 1 online resource (xvii, 501 pages) : |b illustrations | ||
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| 588 | 0 | |a Online resource; title from title page (viewed January 31, 2020). | |
| 500 | |a Includes index. | ||
| 520 | |a Create and implement AI- and ML-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. You'll learn how to build features that use powerful AI software to identify images, make predictions, generate content, make recommendations, 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. | ||
| 505 | 0 | |a Part 1. Fundamentals and tools. Artificial intelligence!? -- Tools for artificial intelligence -- Finding or building a dataset -- Part 2. Tasks. Vision -- Audio -- Text and language -- Motion and gestures -- Augmentation -- Beyond features -- Part 3. Beyond. AI and ML methods -- Looking under the hood -- The hard way. | |
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| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Swift (Computer program language) | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Swift (Langage de programmation) | |
| 650 | 7 | |a artificial intelligence. |2 aat | |
| 650 | 7 | |a Artificial intelligence. |2 fast |0 (OCoLC)fst00817247 | |
| 650 | 7 | |a Machine learning. |2 fast |0 (OCoLC)fst01004795 | |
| 650 | 7 | |a Swift (Computer program language) |2 fast |0 (OCoLC)fst01922222 | |
| 700 | 1 | |a Manning, Jon, |e author. | |
| 700 | 1 | |a Buttfield-Addison, Paris, |e author. | |
| 700 | 1 | |a Nugent, Tim, |e author. | |
| 776 | 0 | 8 | |i Print version: |a Geldard, Mars. |t Practical Artificial Intelligence with Swift : From Fundamental Theory to Development of AI-Driven Apps. |d Sebastopol : O'Reilly Media, Incorporated, ©2020 |z 9781492044819 |
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