Valliappa Lakshmanan. -- O'Reilly Media, -- 2018. -- First edition.

所蔵

所蔵は 1 件です。

所蔵館 所蔵場所 資料区分 請求記号 資料コード 所蔵状態 資料の利用
配架日 協力貸出 利用状況 返却予定日 資料取扱 予約数 付録注記 備考
中央 2F 一般洋図書 F/007.1/L19/D 7110354974 配架図 Digital BookShelf
2018/06/26 可能 利用可   0
Eメールによる郵送複写申込みは、「東京都在住」の登録利用者の方が対象です。

資料詳細 閉じる

ISBN 1491974567 (paperback)
ISBN13桁 9781491974568 (paperback)
テキストの言語 英語                  
分類:NDC10版 007.13
個人著者標目 Lakshmanan, Valliappa.
本タイトル Data science on the Google cloud platform :
タイトル関連情報 implementing end-to-end real-time data pipelines : from ingest to machine learning /
著者名 Valliappa Lakshmanan.
版表示 First edition.
出版地・頒布地 Sebastopol, CA :
出版者・頒布者名 O'Reilly Media,
出版年・頒布年 2018.
数量 xiv, 393 pages :
他の形態的事項 illustrations ;
大きさ 24 cm.
一般注記 Includes index.
要約、抄録、注釈等 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. Over 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.
統一タイトル(件名) Google Apps.
団体件名 Google (Firm)
Google (Firm)
一般件名 Real-time data processing.
Cloud computing.
資料情報1 『Data science on the Google cloud platform : implementing end-to-end real-time data pipelines : from ingest to machine learning /』First edition. Valliappa Lakshmanan. O'Reilly Media, 2018. (所蔵館:中央  請求記号:F/007.1/L19/D  資料コード:7110354974)
URL https://catalog.library.metro.tokyo.lg.jp/winj/opac/switch-detail.do?lang=ja&bibid=1352030796