Machine Learning with Swift

The following set of tutorials is loosely based on the source code I prepared for my book "Machine learning with Swift: Artificial Intelligence for iOS".

This is still work-in-progress project (and maybe always will be), so the pages that are more or less ready for reading are marked with bold font.

• Section I: ML Intro

  • Chapter 1. Getting started with Machine Learning
  • Data science toolbox
  • Chapter 2. Decision Tree Learning

• Section II: Statistical Learning

  • Chapter 3. k-Neares Neighbor Classifier
  • Chapter 4. Clustering
  • Chapter 5. Rule Learning
  • Chapter 6. Linear Regression
  • Chapter 7. Logistic Regression

• Section III: Deep Learning

  • Chapter 8. Neural Networks
  • Chapter 9. Convolutional Neural Networks and Computer Vision
  • Chapter 10. Word Embeddings and Natural Language Processing

• Section IV: ML in Production

  • Chapter 11. Machine Learning Libraries
  • Chapter 12. Hardware Accelerartion
  • Chapter 13. Optimizing Neural Networks for Mobile Devices
  • Chapter 14. Best Practices

• Supplementary Materials:

  • Mathematical Notation Cheatsheet

Contributors:

• Alex Sosnovshchenko
• Dmitrii Vorona
• Mykola Sosnovshchenko