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Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in
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Valliappa Lakshmanan 作者
O'Reilly Media
譯者
2017-10-25 出版日期
250 頁數
USD 34.80 價格
Paperback
叢書系列
9781491974568 圖書編碼

Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in 在線電子書 圖書標籤: 機器學習  計算機  數據科學  雲計算  AI  大數據  machine  learning   

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Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in 在線電子書 用戶評價

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Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in 在線電子書 著者簡介

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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Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in 在線電子書 著者簡介

Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Data Science on the Google Cloud Platform: Implementing End-to-End Real-time Data Pipelines: from in 在線電子書 圖書描述

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 在線電子書 下載 mobi epub pdf txt 在線電子書下載
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