[HOT SHARE] Data Science on the Google Cloud Platform, Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning Books
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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
Additional Information:
| Title | : Data Science on the Google Cloud Platform, Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning |
| Author | : Valliappa Lakshmanan |
| Item ID | : MbpCDwAAQBAJ |
| Publisher | : “O’Reilly Media, Inc.” |
| Type | : BOOK |
| Format File | : PDF & EPUB |
| Android/iOS | : Install “Google Play Books” |
| Page Count | : 404 |
| Category | : Computers |
| Published Date | : 2017-12-12 |
| Language | : en |
| Isbn 10 | : 1491974516 |
| Isbn 13 | : 9781491974513 |
| Sale Info | : FOR_SALE |
| Price | : 39.51 EUR |
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