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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. 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.

  3. 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 …

  4. 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.

  5. Machine Learning | Google for Developers

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

  6. Dados numéricos: exercícios de programação | Machine Learning

    Faça estes exercícios de programação no Google Colab para ter experiência prática em encontrar outliers e valores de dados incorretos.

  7. Machine Learning | Google for Developers

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

  8. Regresión lineal: Ejercicio de programación | Machine Learning

    Completa este ejercicio de programación para aprender a codificar un modelo de regresión lineal en Google Colab con la biblioteca de Keras.

  9. Production ML systems | Machine Learning - Google Developers

    Aug 25, 2025 · So far, this course has focused on building machine learning (ML) models. However, as Figure 1 suggests, real-world production ML systems are large ecosystems and the model is just a …

  10. 机器学习简介 | Machine Learning | Google for Developers

    欢迎学习“机器学习简介”。本课程将介绍 机器学习 (ML) 概念。本课程不涉及如何实现机器学习或处理数据。 课程预计时长:20 分钟 学习目标: 了解不同类型的机器学习。 了解监督式机器学习的关键概 …