Data Science on the Google Cloud Platform

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Data Science on the Google Cloud Platform
Valliappa Lakshmanan, Valliapp ...
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Last edited by ImportBot
May 25, 2022 | History

Data Science on the Google Cloud Platform

  • 1 Want to read
  • 1 Currently reading

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

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Language
English

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Edition Availability
Cover of: Data Science on the Google Cloud Platform
Data Science on the Google Cloud Platform
2022, O'Reilly Media, Incorporated
in English
Cover of: Data science on the Google cloud platform
Data science on the Google cloud platform: implementing end-to-end real-time data pipelines: from ingest to machine learning
2017, O'Reilly Media, Incorporated
in English - First edition.
Cover of: Data Science On The Google Cloud Platform
Data Science On The Google Cloud Platform
2017, O'reilly Media, Inc.
in English

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Book Details


The Physical Object

Pagination
462

Edition Identifiers

Open Library
OL38003396M
ISBN 13
9781098118921

Work Identifiers

Work ID
OL19725709W

Source records

Better World Books record

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May 25, 2022 Created by ImportBot Imported from Better World Books record