Book Image

Machine Learning with Swift

By : Jojo Moolayil, Alexander Sosnovshchenko, Oleksandr Baiev
Book Image

Machine Learning with Swift

By: Jojo Moolayil, Alexander Sosnovshchenko, Oleksandr Baiev

Overview of this book

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.
Table of Contents (18 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Best practices


In this section, we've collected some general ideas worth keeping in mind during the whole development process.

Note

It's impossible to collect all important thoughts in one place, so here is a list of some really insightful guides from seasoned machine learning engineers on the best practices they recommend:

  • A Few Useful Things to Know about Machine Learning by Pedro Domingos, at: https://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf
  • Best Practices for Applying Deep Learning to Novel Applications by Leslie N. Smith, at: https://arxiv.org/abs/1704.01568
  • Rules of Machine Learning: Best Practices for ML Engineering by Martin Zinkevich, at: http://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf
  • Best Practices for Machine Learning Applications by Brett Wujek, Patrick Hall, and Funda Güneș, at: https://support.sas.com/resources/papers/proceedings16/SAS2360-2016.pdf

Benchmarking

When you are creating a model for solving a popular machine learning task, how do you know it is any better...