Simple step-by-step walkthroughs to solve common machine learning problems using best practices.

Google's fast-paced, practical introduction to machine learning, featuring a series of animated videos, interactive visualizations, and hands-on practice exercises.

Guides Our guides offer simple step-by-step walkthroughs for solving common machine learning problems using best practices.

Aug 25, 2025 · This document is intended to help those with a basic knowledge of machine learning get the benefit of Google's best practices in machine learning. It presents a style for machine learning, …

Aug 25, 2025 · If you see something that looks like a learning trend, see if it manifests most strongly with high frequency users. If you believe an anomaly is due to the launch of some features, make sure …

Aug 25, 2025 · This document grew out of our own experience training neural networks, teaching new machine learning engineers, and advising our colleagues on the practice of deep learning.

Aug 25, 2025 · Welcome to Introduction to Machine Learning. This course introduces machine learning (ML) concepts. This course does not cover how to implement ML or work with data. Estimated …

Aug 25, 2025 · The ultimate goal of machine learning development is to maximize the usefulness of the deployed model. You can typically use the same basic steps and principles in this section on any ML …

Aug 25, 2025 · “Choose a model” is not a formal step of the traditional machine learning workflow; however, selecting an appropriate model for your problem is a critical task that clarifies and simplifies …

Aug 25, 2025 · The Responsible Generative AI Toolkit explains more about safety evaluations, including adversarial testing. Learn more about Google's work in this area and lessons learned in the Keyword …