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

Dec 9, 2025 · Prerequisites: This module assumes you are familiar with the concepts covered in the following module: Introduction to Machine Learning Linear regression is a statistical …

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 …

Machine Learning Crash Course A hands-on course to explore the critical basics of machine learning.

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

Aug 25, 2025 · Build a high-level intuition of how neural networks are trained, using the backpropagation algorithm. Explain how neural networks can be used to perform two types of …

Aug 25, 2025 · Introduction to Machine Learning Problem Framing or equivalent. Machine Learning Crash Course, including Working with numerical data and Datasets, generalization, …

Aug 25, 2025 · Clustering is an unsupervised machine learning technique designed to group unlabeled examples based on their similarity to each other. (If the examples are labeled, this …

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 …

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.