Practical artificial intelligence with Swift : From fundamental theory to development of AI-driven apps By Mars Geldard; Jon Manning; Paris Buttfield-Addison & Tim Nugent

By:

Geldard, Mars; Manning, Jon; Buttfield-Addison, Paris & Nugent, Tim

Material type: Text

9789352139231

Subject(s):

Artificial intelligence. Machine learning. Swift (Computer program language)

DDC classification:

006.3 GEL-P

Contents:

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.

Summary: 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.

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Dept. of Computational Biology and Bioinformatics Processing Center	Dept. of Computational Biology and Bioinformatics	006.3 GEL-P (Browse shelf(Opens below))	Available		DCB3987

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.

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.

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