
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.
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.
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 …
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.
Machine Learning | Google for Developers
Machine Learning Crash Course A hands-on course to explore the critical basics of machine learning.
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.
Machine Learning | Google for Developers
Machine Learning Crash Course A hands-on course to explore the critical basics of machine learning.
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.
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 …
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 …