Machine Learning by Tutorials: Beginning Machine Learning for Apple and iOS (pdf)

$20.00

Author raywenderlich Tutorial Team; Matthijs Hollemans; Audrey Tam; Chris LaPollo
Edition 1
Edition Year 2021
Format PDF
Language English
Number Of Pages 600
Publisher Razeware LLC
ISBN 9781942878933

Description

This is where Machine Learning by Tutorials comes in! In this book, we’ll hold your hand through a number of tutorials, to get you started in the world of machine learning. We’ll cover a wide range of popular topics in the field of machine learning, while developing apps that work on iOS devices.

Who This Book Is For

This books is for the intermediate iOS developer who already knows the basics of iOS and Swift development, but wants to understand how machine learning works.

Topics covered in Machine Learning by Tutorials

  • CoreML: Learn how to add a machine learning model to your iOS apps, and how to use iOS APIs to access it.
  • Create ML: Learn how to create your own model using Apple’s Create ML Tool.
  • Turi Create and Keras: Learn how to tune parameters to improve your machine learning model using more advanced tools.
  • Image Classification: Learn how to apply machine learning models to predict objects in an image.
  • Convolutional Networks: Learn advanced machine learning techniques for predicting objects in an image with Convolutional Neural Networks (CNNs).
  • Sequence Classification: Learn how you can use recurrent neural networks (RNNs) to classify motion from an iPhone’s motion sensor.
  • Text-to-text Transform: Learn how to use machine learning to convert bodies of text between two languages.

By the end of this book, you’ll have a firm understanding of what machine learning is, what it can and cannot do, and how you can use machine learning in your next app!

Additional information

Author

raywenderlich Tutorial Team; Matthijs Hollemans; Audrey Tam; Chris LaPollo

Edition

1

Edition Year

2021

Format

PDF

Language

English

Number Of Pages

600

Publisher

Razeware LLC

ISBN

9781942878933

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