Data Science on the Google Cloud Platform

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    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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    Number of Pages: 400
    Format(s): Paperback - ISBN: 9781491974568
    Publication Date:
    Listed in: Databases, Cloud computing, Machine learning
    Publisher: O'Reilly Media, Inc, USA

    Books by Valliappa Lakshmanan

    Paperback

    RRP: £51.99

    Total: £33.65

    Save: £18.34 per copy!

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