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Machine Learning with Swift
book

Machine Learning with Swift

by Alexander Sosnovshchenko
February 2018
Intermediate to advanced
378 pages
10h 14m
English
Packt Publishing

Overview

Machine Learning with Swift takes you on a comprehensive journey into integrating machine learning solutions into your iOS applications. By blending modern machine learning concepts with iOS development best practices, the book equips you with the tools and knowledge needed to implement intelligent functionalities in apps using Swift and Core ML.

What this Book will help me do

  • Gain proficiency in using Swift for implementing machine learning solutions.
  • Understand and deploy pre-trained models to your iOS applications using Core ML.
  • Learn techniques for training neural networks to handle computer vision tasks.
  • Master the application of supervised and unsupervised learning techniques effectively.
  • Optimize neural networks and machine learning algorithms for efficient iOS app performance.

Author(s)

Alexander Sosnovshchenko, Jojo Moolayil, and Oleksandr Baiev are experienced professionals in software development, specializing in iOS applications and machine learning technologies. Leveraging their practical expertise, they collaboratively crafted this guide to bridge the gap between theoretical machine learning concepts and actionable iOS programming strategies.

Who is it for?

This book is tailored for iOS developers looking to infuse intelligence into their apps through modern machine learning techniques. It also caters to data science professionals aspiring to deploy machine learning solutions on mobile platforms. A basic understanding of Swift programming is the only prerequisite to get started.

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Publisher Resources

ISBN: 9781787121515