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 |
We thank the following for their reviews and contributions to the Idiomatic Programmer:
Google Cloud AI - Developer Relations
Andrew Ferlitsch
Noah Negrey
Yu-Han Liu
Shahin Saadati
Torry Yang
Gonzalo Gasca Meza
Amy Unruh
Martin Gorner
Brad Miro
Tianzi Cai
Sara Robinson
Puneith Kaul
Crystal Gomes
Other Current/Former Googlers
William Barret
Sharon Maher
Google Developer Experts (GDE)
Margaret Maynard-Reid / Seattle
ML Practioners
Hobson Lane
Enoch Tetteh
Bill Liu
Miklos Toth
This is not an officially supported Google product.