Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning
Valliappa Lakshmanan
- 出版商: O'Reilly
- 出版日期: 2018-01-23
- 定價: $2,180
- 售價: 6.0 折 $1,308
- 語言: 英文
- 頁數: 410
- 裝訂: Paperback
- ISBN: 1491974567
- ISBN-13: 9781491974568
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相關分類:
Google Cloud、Machine Learning 機器學習 、資料科學
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相關翻譯:
基於雲計算的數據科學 (簡中版)
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其他版本:
Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time Data Pipelines: From Ingest to Machine Learning, 2/e (Paperback)
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商品描述
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Through the course of the book, you’ll work through a sample business decision by employing a variety of data science approaches.
Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science.
You’ll learn how to:
- Automate and schedule data ingest, using an App Engine application
- Create and populate a dashboard in Google Data Studio
- Build a real-time analysis pipeline to carry out streaming analytics
- Conduct interactive data exploration with Google BigQuery
- Create a Bayesian model on a Cloud Dataproc cluster
- Build a logistic regression machine-learning model with Spark
- Compute time-aggregate features with a Cloud Dataflow pipeline
- Create a high-performing prediction model with TensorFlow
- Use your deployed model as a microservice you can access from both batch and real-time pipelines