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

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

Aug 25, 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 · 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. …

Aug 25, 2025 · Learning objectives Explain the motivation for building neural networks, and the use cases they address. Define and explain the function of the key components of a deep …

Aug 25, 2025 · 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 …

Aug 25, 2025 · While Machine Learning Crash Course may be useful to you as a refresher of fundamental machine learning concepts, you may also want to explore some of our advanced …

Aug 25, 2025 · Completed Machine Learning Crash Course either in-person or self-study, or you have equivalent knowledge. Familiarity with linear algebra (inner product, matrix-vector product).

Aug 25, 2025 · Image classification is a supervised learning problem: define a set of target classes (objects to identify in images), and train a model to recognize them using labeled …

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. …