Data Science on the Google Cloud Platform


Download Data Science on the Google Cloud Platform written by Valliappa Lakshmanan in EPUB format. This book is under the category Computers and bearing the isbn/isbn13 number 1491974567/9781491974568. You may reffer the table below for additional details of the book.

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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

Additional information


Valliappa Lakshmanan


O’Reilly Media; 1st edition




412 pages









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