
Machine Learning Crash Course - Google Developers
Google's fast-paced, practical introduction to machine learning, featuring a series of animated videos, interactive visualizations, and hands-on practice exercises.
Machine Learning | Google for Developers
Machine Learning Crash Course A hands-on course to explore the critical basics of machine learning.
Linear regression | Machine Learning | Google for Developers
3 days ago · This course module teaches the fundamentals of linear regression, including linear equations, loss, gradient descent, and hyperparameter tuning.
Machine Learning | Google for Developers
Machine Learning Crash Course A hands-on course to explore the critical basics of machine learning.
Prerequisites and prework | Machine Learning - Google Developers
Aug 25, 2025 · If you're new to machine learning, take Introduction to Machine Learning. This short self-study course introduces fundamental machine learning concepts. If you are new to …
Introduction to Machine Learning | Google for Developers
Aug 25, 2025 · bookmark_border Welcome to Introduction to Machine Learning. This course introduces machine learning (ML) concepts. This course does not cover how to implement ML …
What is Machine Learning? | Google for Developers
Sep 17, 2025 · Machine learning (ML) powers some of the most important technologies we use, from translation apps to autonomous vehicles. This course explains the core concepts behind …
Neural networks | Machine Learning | Google for Developers
Aug 25, 2025 · During training of a neural network, the model automatically learns the optimal feature crosses to perform on the input data to minimize loss. In the following sections, we'll …
Exercises | Machine Learning | Google for Developers
Aug 25, 2025 · This page lists the exercises in Machine Learning Crash Course. Programming exercises run directly in your browser (no setup required!) using the Colaboratory platform.
Introduction to Machine Learning Problem Framing
Aug 25, 2025 · Introduction to Machine Learning Problem Framing teaches you how to determine if machine learning (ML) is a good approach for a problem and explains how to outline an ML …