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Can I read Data science on the Google cloud platform : implementing end-to-end real-time data pipelines : from ingest to machine learning on EtoBox?

Data science on the Google cloud platform : implementing end-to-end real-time data pipelines : from ingest to machine learning by Lakshmanan, Valliappa is a nonfiction available to read on EtoBox.

What is Data science on the Google cloud platform : implementing end-to-end real-time data pipelines : from ingest to machine learning about?

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 you

Who reads Data science on the Google cloud platform : implementing end-to-end real-time data pipelines : from ingest to machine learning?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Lakshmanan, Valliappa
Publisher
Ingram Publisher Services [distributor, O'Reilly Media, Incorporated
Published
2018
Language
EN
ISBN
9781491974568
Category
nonfiction
Subjects
Computer Science, Databases, Reference
Rating
4.3 / 5 (79 ratings)
Updated
2026-03-14

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