Machine Learning Guides

Simple step-by-step walkthroughs to solve common machine learning problems using best practices.
This guide assists UXers, PMs, and developers in collaboratively working through AI design topics and questions. It provides tools, methods, and best practices for designing with AI in a human-centered way.
Become a better machine learning engineer by following these machine learning best practices used at Google. This compendium of 43 rules provides guidance on when to use machine learning to solve a problem, how to deploy a machine learning pipeline, how to launch and maintain a machine learning system, and what to do when your system reaches a plateau.
This comprehensive guide provides a walkthrough to solving text classification problems using machine learning. Learn the high-end workflow for text classification, how to choose the right model for your problem, and how to implement your model using TensorFlow.
This guide describes the tricks that an expert data analyst uses to evaluate huge data sets in machine learning problems.