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Data Science on the Google Cloud Platform – eBook

eBook details

  • Author: Valliappa Lakshmanan
  • File Size: 13 MB
  • Format: ePub (converted PDF also available)
  • Length: 412 pages
  • Publisher: O’Reilly Media; 1st edition
  • Publication Date: December 12, 2017
  • Language: English
  • ASIN: B0787L7RK3
  • ISBN-10: 1491974567
  • ISBN-13: 9781491974568

Using the ePub ebook “Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning“, 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 easy 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 ebook, you will work through a sample business decision by employing a variety of data science approaches.

Follow along by implementing these machine learning and statistical solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science.

You will learn how to:

  • Create a Bayesian model on a Cloud Dataproc cluster
  • Create and populate a dashboard in Google Data Studio
  • Conduct interactive data exploration with Google BigQuery
  • Create a high-performing prediction model with TensorFlow
  • Make a logistic regression machine-learning model with Spark
  • Compute time-aggregate features with a Cloud Dataflow pipeline
  • Build a real-time analysis pipeline to carry out streaming analytics
  • Automate and schedule data ingest, using an App Engine application
  • Use your deployed model as a microservice you can access from both batch and real-time pipelines

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