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  1. Machine Learning | Google for Developers

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

  2. Machine Learning | Google for Developers

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

  3. Introduction to Machine Learning | Google for Developers

    Aug 25, 2025 · Learn about the types of ML, supervised ML, and how solving problems with ML differs from traditional approaches.

  4. Linear regression | Machine Learning | Google for Developers

    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 technique used …

  5. Prerequisites and prework | Machine Learning - Google Developers

    Aug 25, 2025 · Please read through the following Prework and Prerequisites sections before beginning Machine Learning Crash Course, to ensure you are prepared to complete all the modules.

  6. Machine Learning | Google for Developers

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

  7. Introduction to Large Language Models | Machine Learning | Google …

    Jan 9, 2026 · For example, a recurrent neural network can gradually learn (and learn to ignore) selected context from each word in a sentence, kind of like you would when listening to someone speak. A …

  8. Machine learning for developers - Google Codelabs

    Apr 20, 2023 · 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 …

  9. What is Machine Learning? | Google for Developers

    Jan 27, 2026 · 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 ML.

  10. Neural networks | Machine Learning | Google for Developers

    Aug 25, 2025 · By adding the feature cross x1x2, the linear model can learn a hyperbolic shape that separates the blue dots from the orange dots. Now consider the following dataset: