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[Télécharger] Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning (English Edition) de Valliappa Lakshmanan PDF Ebook En Ligne

Télécharger Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning (English Edition) de Valliappa Lakshmanan Pdf Ebook

Download Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning (English Edition) PDF

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Télécharger "Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning (English Edition)" de Valliappa Lakshmanan Pdf Ebook


Auteur : Valliappa Lakshmanan
Catégorie : Ebooks Kindle,Ebooks en langues étrangères,Par langue
Broché : * pages
Éditeur : *
Langue : Français, Anglais


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 applicationCreate and populate a dashboard in Google Data StudioBuild a real-time analysis pipeline to carry out streaming analyticsConduct interactive data exploration with Google BigQueryCreate a Bayesian model on a Cloud Dataproc clusterBuild a logistic regression machine-learning model with SparkCompute time-aggregate features with a Cloud Dataflow pipelineCreate a high-performing prediction model with TensorFlowUse your deployed model as a microservice you can access from both batch and real-time pipelines

Télécharger Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning (English Edition) de Valliappa Lakshmanan PDF Ebook En Ligne


Data Science on the Google Cloud Platform [Book] ~ 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 .

Data Science On The Google Cloud Platform Implementing End ~ Data Science On The Google Cloud Platform Implementing End To End Real Time Data Pipelines From Ingest To Machine Learning Author: media.ctsnet-Andrea Faber-2020-09-14-04-55-26 Subject: Data Science On The Google Cloud Platform Implementing End To End Real Time Data Pipelines From Ingest To Machine Learning Keywords

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