Data Science on the Google Cloud Platform: Implementing end-to-end real-time data pipelines: from ingest to machine learning - Image 1

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O'Reilly Data Science on the Google Cloud Platform: Implementing end-to-end real-time data pipelines: from ingest to machine learning

Name: Data Science on the Google Cloud Platform: Implementing end-to-end real-time data pipelines: from ingest to machine learning
Brand: O'Reilly
Price: 46.44 GBP
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AI & Machine Learning

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Description

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

Product Specifications

Brand: O'Reilly
Format: paperback
ASIN: 1491974567
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 05 January 2018
Listed Since: 06 December 2016

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O'Reilly Data Science on the Google Cloud Platform: Implementing end-to-end real-time data pipelines: from ingest to machine learning

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