Further reading

Introduction

If you’re interested in learning more about machine learning, or want to start creating apps that make use of such technology, take a look at the following resources.

Apple explainers

Apple has published pages explaining how its devices use machine learning, from Face ID (bitly.com/faceidml) to Safari’s Intelligent Tracking Prevention (bitly.com/safariml).

Royal Society

The Royal Society (bitly.com/royscml) has a good introduction to machine learning that combines interactive infographics with accessible explanations to demystify the topic.

Tech company blogs

Apple forewent its usual secrecy when it launched its Machine Learning Journal (bitly.com/apmlblog) in 2017. It goes into great depth on topics such as Hey Siri detection and handwriting recognition. Microsoft (bitly.com/ msmlblog) and Google (bitly.com/ googlemlblog) publish similar pages.

Developer resources from Apple

Apple has a set of resources at bitly. com/applml to help developers create apps with Core ML 2 and Create ML, frameworks used to make machine learning-based apps in iOS and macOS.

IBM Summit

IBM’s Summit supercomputer (bitly. com/ibmsmmt) is claimed to be the fastest in the world. It’s used to model supernovas, pioneer new materials and explore cancer, genetics and the environment using machine learning.

Back to school

Several UK unis run post-grad courses in machine learning, including Imperial College London (bitly.com/impml) and Manchester (bitly.com/mancml).