E-book details

Machine Learning with Swift. Artificial Intelligence for iOS

Machine Learning with Swift. Artificial Intelligence for iOS

Alexander Sosnovshchenko, Oleksandr Baiev

Ebook
Machine learning as a field promises to bring increased intelligence to the software by helping us learn and analyse information efficiently and discover certain patterns that humans cannot. This book will be your guide as you embark on an exciting journey in machine learning using the popular Swift language.

We’ll start with machine learning basics in the first part of the book to develop a lasting intuition about fundamental machine learning concepts. We explore various supervised and unsupervised statistical learning techniques and how to implement them in Swift, while the third section walks you through deep learning techniques with the help of typical real-world cases. In the last section, we will dive into some hard core topics such as model compression, GPU acceleration and provide some recommendations to avoid common mistakes during machine learning application development.

By the end of the book, you'll be able to develop intelligent applications written in Swift that can learn for themselves.

  • 1. Getting started with Machine Learning
  • 2. Decision Tree Learning
  • 3. K-Neares Neighbor Classifier
  • 4. Clustering
  • 5. Rule learning
  • 6. Linear Regression and Gradient Descent
  • 7. Logistic Regression
  • 8. Neural Networks
  • 9. Convolutional Neural Networks and Computer Vision
  • 10. Word Embeddings and Natural Language Processing
  • 11. Machine Learning Libraries
  • 12. Optimizing neural networks for mobile devices
  • 13. Best Practices
  • Title: Machine Learning with Swift. Artificial Intelligence for iOS
  • Author: Alexander Sosnovshchenko, Oleksandr Baiev
  • Original title: Machine Learning with Swift. Artificial Intelligence for iOS
  • ISBN: 9781787123526, 9781787123526
  • Date of issue: 2018-02-28
  • Format: Ebook
  • Item ID: e_156p
  • Publisher: Packt Publishing