Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in 2024 pdf epub mobi 电子书


Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in

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Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in 2024 pdf epub mobi 电子书 著者简介

About the Author

Valliappa (Lak) Lakshmanan is currently a Tech Lead for Data and Machine Learning Professional Services for Google Cloud. His mission is to democratize machine learning so that it can be done by anyone anywhere using Google's amazing infrastructure, without deep knowledge of statistics or programming or ownership of a lot of hardware. Before Google, he led a team of data scientists at the Climate Corporation and was a Research Scientist at NOAA National Severe Storms Laboratory, working on machine learning applications for severe weather diagnosis and prediction.

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发表于2024-05-13

Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in 2024 pdf epub mobi 电子书

Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in 2024 pdf epub mobi 电子书

Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in 2024 pdf epub mobi 电子书



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出版者:O'Reilly Media
作者:Valliappa Lakshmanan
出品人:
页数:250
译者:
出版时间:2017-10-25
价格:USD 34.80
装帧:Paperback
isbn号码:9781491974568
丛书系列:

图书标签: 机器学习  计算机  数据科学  云计算  AI  大数据  machine  learning   


Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in 2024 pdf epub mobi 电子书 图书描述

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-time

Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in 2024 pdf epub mobi 电子书

Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in 2024 pdf epub mobi 电子书
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Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in 2024 pdf epub mobi 电子书


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