Guides
Our guides offer simple step-by-step walkthroughs for solving common machine learning problems using best practices.
Rules of ML
Become a better machine learning engineer by following these machine learning best practices used at Google.
People + AI Guidebook
This guide assists UXers, PMs, and developers in collaboratively working through AI design topics and questions.
Text Classification
This comprehensive guide provides a walkthrough to solving text classification problems using machine learning.
Good Data Analysis
This guide describes the tricks that an expert data analyst uses to evaluate huge data sets in machine learning problems.
Deep Learning Tuning Playbook
This guide explains a scientific way to optimize the training of deep learning models.
Data Traps
This guide presents common mistakes that ML practitioners might encounter when working with data and statistics.
Intro to Responsible AI
This beginner guide gives an overview of how to build fairness, accountability, safety, and privacy into AI systems.
Adversarial Testing for Generative AI
Walk through an example adversarial testing workflow.