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《Google Cloud Platform 上的数据科学(第二版)》
book

《Google Cloud Platform 上的数据科学(第二版)》

by Valliappa Lakshmanan
May 2025
Intermediate to advanced
462 pages
6h 16m
Chinese
O'Reilly Media, Inc.

Overview

本作品已使用人工智能进行翻译。欢迎您提供反馈和意见:translation-feedback@oreilly.com

了解在使用 Google Cloud Platform (GCP) 进行构建时,将复杂的统计和机器学习方法应用到实际问题中是多么容易。本实践指南向数据工程师和数据科学家展示了如何在 GCP 上使用云原生工具实现端到端的数据管道。

在本更新的第二版中,您将通过一个示例业务决策,运用多种数据科学方法进行实践。跟随指南在GCP上自己的项目中构建数据管道,探索如何以更具变革性和协作性的方式解决数据科学问题。

您将学习如何:

  • 在 Google Cloud 上构建高度可扩展的数据和机器学习管道的最佳实践
  • 使用 Cloud Run 自动化和计划数据摄入
  • 在Data Studio中创建并填充仪表盘
  • 使用 Pub/Sub、Dataflow 和 BigQuery 构建实时分析管道
  • 使用 BigQuery 进行交互式数据探索
  • 使用 Cloud Dataproc 上的 Spark 创建贝叶斯模型
  • 使用 BigQuery ML 进行时间序列预测和异常检测
  • 使用 Dataflow 在时间窗口内进行聚合
  • 使用 Vertex AI 训练可解释的机器学习模型
  • 使用 Vertex AI Pipelines 实现机器学习的 operationalization
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Publisher Resources

ISBN: 9798341658578