Machine Learning Crash Course - Google Developers
Google's fast-paced, practical introduction to machine learning, featuring a series of lessons with video lectures, interactive visualizations, and hands-on practice exercises.
Linear regression | Machine Learning | Google for Developers
Oct 9, 2024 · Introduction to Machine Learning; Linear regression is a statistical technique used to find the relationship between variables. In an ML context, linear regression finds the relationship between features and a label.
Machine Learning | Google for Developers
The foundational courses cover machine learning fundamentals and core concepts. We recommend taking them in the order below.
Machine Learning | Google for Developers
Become a better machine learning engineer by following these machine learning best practices used at Google.
Machine Learning | Google for Developers
Machine Learning Conceptos del AA Enviar comentarios Organiza tus páginas con colecciones Guarda y categoriza el contenido según tus preferencias. Curso intensivo de aprendizaje automático Introducción práctica y rápida al aprendizaje automático de Google, que incluye una serie de lecciones con clases por video, visualizaciones ...
What is Machine Learning? | Google for Developers
Jan 13, 2025 · 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. ML offers a new way to solve problems, answer complex questions, and create new content.
Prerequisites and prework | Machine Learning - Google Developers
Oct 9, 2024 · Before beginning Machine Learning Crash Course, do the following: If you're new to machine learning, take Introduction to Machine Learning. This short self-study course introduces fundamental machine learning concepts.
Neural networks | Machine Learning | Google for Developers
Oct 9, 2024 · During training of a neural network, the model automatically learns the optimal feature crosses to perform on the input data to minimize loss. In the following sections, we'll take a closer look at how neural networks work.
Datasets: Dividing the original dataset | Machine Learning | Google …
Jan 2, 2025 · Learn how to divide a machine learning dataset into training, validation, and test sets to test the correctness of a model's predictions.
Neural networks: Interactive exercises | Machine Learning | Google …
Oct 9, 2024 · Practice building and training neural networks from scratch (configuring nodes, hidden layers, and activation functions) by completing these interactive exercises.