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Machine Learning Crash Course - Google Developers
Since 2018, millions of people worldwide have relied on Machine Learning Crash Course to learn how machine learning works, and how machine learning can work for them. We're delighted to announce the launch of a refreshed version of MLCC that covers recent advances in AI, with an increased focus on interactive learning.
Machine Learning | Google for Developers
Learn how to manage machine learning projects. Advanced courses The advanced courses teach tools and techniques for solving a variety of machine learning problems. ... Become a better machine learning engineer by following these machine learning best practices used at Google. People + AI Guidebook This guide assists UXers, PMs, and developers ...
Linear regression | Machine Learning | Google for Developers
Mar 13, 2025 · 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
A hands-on course to explore the critical basics of machine learning. Problem Framing A course to help you map real-world problems to machine learning solutions.
Prerequisites and prework | Machine Learning - Google Developers
Oct 9, 2024 · 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.. Prework. 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 …
Exercises | Machine Learning | Google for Developers
Feb 26, 2025 · Introduction (3 min) How a model ingests data with feature vectors (5 min) First steps (5 min) Programming exercises (10 min) Normalization (20 min)
Introduction to Machine Learning | Google for Developers
Feb 25, 2025 · This course introduces machine learning (ML) concepts. This course does not cover how to implement ML or work with data. Estimated Course Length: 20 minutes Learning objectives: Understand the different types of machine learning. Understand the key concepts of supervised machine learning. Learn how solving problems with ML is different from ...
Curso intensivo de machine learning - Google Developers
Cada módulo do Curso intensivo de machine learning é independente. Portanto, se você já tem experiência em aprendizado de máquina, pode pular diretamente para os tópicos que quer aprender. Se você não tem experiência com aprendizado de máquina, recomendamos concluir os módulos na ordem abaixo.
Machine Learning | Google for Developers
Desde 2018, millones de personas en todo el mundo han confiado en Machine Learning Crash Course para aprender cómo funciona el aprendizaje automático y cómo puede beneficiarlos. Nos complace anunciar el lanzamiento de una versión actualizada de la MLCC que abarca los avances recientes en la IA, con un mayor enfoque en el aprendizaje ...
Neural networks | Machine Learning | Google for Developers
Oct 9, 2024 · By adding the feature cross x 1 x 2, the linear model can learn a hyperbolic shape that separates the blue dots from the orange dots. Now consider the following dataset: ... ["This module builds on prior knowledge of machine learning concepts such as linear and logistic regression, classification, and working with numerical and categorical data