Data Science on the Google Cloud Platform : Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning, 2nd Edition (Early Release)
by Valliappa Lakshmanan
English | 2021 | ISBN: 9781098118945 | 213 Pages | PDF(conv)/ePUB | 9 MB
by Valliappa Lakshmanan
English | 2021 | ISBN: 9781098118945 | 213 Pages | PDF(conv)/ePUB | 9 MB
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP.
Through the course of this updated second edition, 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.
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