Google Cloud AI Developer Relations

This repository contains content produced by Google Cloud AI Developer Relations for machine learning and artificial intelligence. The content covers a wide spectrum from educational, training, and research, covering from novices, junior/intermediate to advanced.

The content has been designed both for self-learning, and for being incorporating into instructional material for universities, private coding schools, and professional training. Licensed as Apache 2.0 and CC-BY, organizations are free to integrate and customize the material into their curriculum.

The repository is organized by:

Directory	Description
handbooks	Google (FREE) PDF softcopy of handbooks - CC-BY 4.0 license (2019)
books	PDF softcopy of books - preview versions
workshops	workshops (presentation slides and code labs) - CC-BY 4.0 license (2019)
notebooks	notebooks for production-grade solutions
zoo	tf.keras model zoo (coded in idiomatic and composable design pattern) - Apache 2.0 license
community labs	Labs for community participation in research

Reviewers and Contributors

We thank the following for their reviews and contributions to the Idiomatic Programmer:

Google Cloud AI - Developer Relations

Andrew Ferlitsch<br/>
Noah Negrey<br/>
Yu-Han Liu<br/>
Shahin Saadati<br/>
Torry Yang<br/>
Gonzalo Gasca Meza<br/>
Amy Unruh<br/>
Martin Gorner<br/>
Brad Miro<br/>
Tianzi Cai<br/>
Sara Robinson<br/>
Puneith Kaul<br/>
Crystal Gomes

Other Current/Former Googlers

William Barret<br/>
Sharon Maher

Google Developer Experts (GDE)

Margaret Maynard-Reid / Seattle

ML Practioners

Hobson Lane<br/>
Enoch Tetteh<br/>
Bill Liu<br/>
Miklos Toth

Disclaimer

This is not an officially supported Google product.