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 · 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 …

自 2018 年以来，全球数百万人通过机器学习速成课程了解了机器学习的工作原理，以及机器学习如何为他们提供帮助。我们很高兴地宣布，全新版本的 MLCC 现已发布，该版本涵盖 AI 领域的最新进展， …

Dec 9, 2025 · Learning objectives: Explain a loss function and how it works. Define and describe how gradient descent finds the optimal model parameters. Describe how to tune hyperparameters to …

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

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.

Sep 26, 2022 · Learn how to use pre-trained machine learning models and extract insights from your data. On this page, you will find a collection of codelabs. A codelab is a self-paced tutorial that does …

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 neural network …

Aug 25, 2025 · This short self-study course introduces fundamental machine learning concepts. If you are new to NumPy, do the NumPy Ultraquick Tutorial Colab exercise, which provides all the NumPy …