Since 2018, millions of people worldwide have relied on Machine Learning Crash Course to learn how machine learning works, and how machine learning can work for them. We're delighted to …

Educational resources for machine learning.The advanced courses teach tools and techniques for solving a variety of machine learning problems. The courses are structured independently. …

Machine Learning Crash Course does not presume or require any prior knowledge in machine learning. However, to understand the concepts presented and complete the exercises, we …

New to machine learning, or need a refresher? Check out the resources below. Estimated Read Time: 10 minutes Learning objectives: Define machine learning and artificial intelligence. …

A reinforcement learning system generates a policy that defines the best strategy for getting the most rewards. Reinforcement learning is used to train robots to perform tasks, like walking …

This course module teaches the fundamentals of linear regression, including linear equations, loss, gradient descent, and hyperparameter tuning.

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 …

Learn more about Google's approach to responsible AI. Learn more about LLMs Interested in a more in-depth introduction to large language models? Check out the new Large language …

Discover courses about machine learning fundamentals and core concepts.

The Fairness module of Machine Learning Crash Course provides an in-depth look at fairness and bias mitigation techniques. People + AI Research (PAIR) offers interactive AI Explorables …