Read Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning

Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning

Valliappa Lakshmanan

4.9/5 (22014 ratings)

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). With this practical guide, author and GCP Program Manager Valliappa Lakshmanan shows you how to gain insight into a sample business decision by applying different statistical and machine learning methods and tools.Along the way, you'll get an extensive tour of the big data and machine learning parts of GCP. You'll start with statistical methods, move into straightforward classification, and then explore windowing and real-time prediction.Move from basic to increasingly sophisticated methodsUnderstand interactive querying of very large datasets with BigQueryLearn about probabilistic decision making with SparkSQL and SparkTrain a TensorFlow model in Python and call it from JavaCreate a data processing pipeline with DataflowCompute time-windowed aggregates in real-timeWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning. To get started finding Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning, you are right to find our website which has a comprehensive collection of manuals listed.
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ISBN: 1491974567

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). With this practical guide, author and GCP Program Manager Valliappa Lakshmanan shows you how to gain insight into a sample business decision by applying different statistical and machine learning methods and tools.Along the way, you'll get an extensive tour of the big data and machine learning parts of GCP. You'll start with statistical methods, move into straightforward classification, and then explore windowing and real-time prediction.Move from basic to increasingly sophisticated methodsUnderstand interactive querying of very large datasets with BigQueryLearn about probabilistic decision making with SparkSQL and SparkTrain a TensorFlow model in Python and call it from JavaCreate a data processing pipeline with DataflowCompute time-windowed aggregates in real-timeWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning. To get started finding Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning

Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning

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