Description: Practical Artificial Intelligence With Swift : From Fundamental Theory to Development of AI-Driven Apps, Paperback by Geldard, Mars; Manning, Jonathon; Buttfield-addison, Paris; Nugent, Tim, ISBN 1492044814, ISBN-13 9781492044819, Brand New, Free shipping in the US
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
Price: 48.48 USD
Location: Jessup, Maryland
End Time: 2024-09-02T16:04:50.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Book Title: Practical Artificial Intelligence With Swift : From Fundamental T
Number of Pages: 523 Pages
Language: English
Publication Name: Practical Artificial Intelligence with Swift : From Fundamental Theory to Development of AI-Driven Apps
Publisher: O'reilly Media, Incorporated
Item Height: 3.2 in
Publication Year: 2019
Subject: Machine Theory, Engineering (General), Intelligence (Ai) & Semantics, Programming / Macintosh
Type: Textbook
Item Weight: 29.1 Oz
Item Length: 12.4 in
Author: Mars Geldard, Jonathon Manning, Paris Buttfield-Addison, Tim Nugent
Subject Area: Computers, Technology & Engineering
Item Width: 7.5 in
Format: Trade Paperback