TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.
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In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architecture team. From running Big Query analytics on tens of thousands of basketball games, to training TensorFlow image classifiers, you will quickly see why Google Cloud is the go-to platform for running big data and machine learning jobs.
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探索生成式 AI - Agent Platform”课程包含一系列实验， 指导用户在 Google Cloud 平台上使用生成式 AI。通过这些实验，您将了解 如何在 Agent Platform 中使用 Gemini 模型。您还将了解提示设计、最佳实践， 以及如何使用生成式 AI 进行构思、文本分类、文本提取、文本摘要等。此外， 您将学习如何通过 Agent Platform 中的自定义训练来训练基础模型， 从而对其进行调优，以及如何将其部署到 Agent Platform 中的端点。
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In this course you will learn how to use several BigQuery ML features to improve retail use cases. Predict the demand for bike rentals in NYC with demand forecasting, and see how to use BigQuery ML for a classification task that predicts the likelihood of a website visitor making a purchase.
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完成中级技能徽章课程通过 BigQuery ML 创建机器学习模型，展示您在以下方面的技能： 使用 BigQuery ML 创建和评估机器学习模型，以执行数据预测。
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In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
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Data Catalog is deprecated and will be discontinued on January 30, 2026. You can still complete this course if you want to. For steps to transition your Data Catalog users, workloads, and content to Dataplex Catalog, see Transition from Data Catalog to Dataplex Catalog (https://cloud.google.com/dataplex/docs/transition-to-dataplex-catalog). Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets and metadata with Data Catalog. After learning how to build your own tag templates that map to BigQuery table data, you will learn how to build MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.
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Want to turn your marketing data into insights and build dashboards? Bring all of your data into one place for large-scale analysis and model building. Get repeatable, scalable, and valuable insights into your data by learning how to query it and using BigQuery. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
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这是一节入门级微课程，旨在解释什么是生成式 AI、它的用途以及与传统机器学习方法的区别。该课程还介绍了可以帮助您开发自己的生成式 AI 应用的各种 Google 工具。
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这是一节入门级微学习课程，探讨什么是大型语言模型 (LLM)、适合的应用场景以及如何使用提示调整来提升 LLM 性能，还介绍了可以帮助您开发自己的 Gen AI 应用的各种 Google 工具。
监控和管理 Google Cloud 资源
Earned May 23, 2024 EDT
在 Google Cloud 中管理 Kubernetes
Earned May 23, 2024 EDT
用 Cloud Vision API 分析图片
Earned May 23, 2024 EDT
基准：基础架构
Earned May 20, 2024 EDT
面向数据科学家和分析师的 Gemini
Earned May 18, 2024 EDT
使用 Google API 分析语音和语言
Earned May 17, 2024 EDT
Google Cloud 上的 AI 和机器学习简介
Earned May 9, 2024 EDT
在 Google Cloud 中实施 DevOps 工作流
Earned Aug 11, 2023 EDT
为 Compute Engine 实现云负载均衡
Earned Aug 7, 2023 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned Jul 31, 2023 EDT
DEPRECATED Google Cloud Solutions II: Data and Machine Learning
Earned Jul 31, 2023 EDT
探索生成式 AI - Agent Platform
Earned Jul 27, 2023 EDT
DEPRECATED Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Earned Jul 27, 2023 EDT
通过 BigQuery ML 创建机器学习模型
Earned Jul 27, 2023 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned Jul 25, 2023 EDT
Data Catalog Fundamentals
Earned Jul 25, 2023 EDT
DEPRECATED BigQuery for Marketing Analysts
Earned Jul 24, 2023 EDT
生成式 AI 简介
Earned May 15, 2023 EDT
大型语言模型简介
Earned May 14, 2023 EDT