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Titlebook: Data Science Solutions on Azure; Tools and Techniques Julian Soh,Priyanshi Singh Book 20201st edition Julian Soh and Priyanshi Singh 2020 A

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发表于 2025-3-21 16:54:57 | 显示全部楼层 |阅读模式
书目名称Data Science Solutions on Azure
副标题Tools and Techniques
编辑Julian Soh,Priyanshi Singh
视频video
概述Holistic coverage of Azure data science capabilities.Covers Azure Cognitive Services API for AI developers.Consists of Case Studies for each operation discussed
图书封面Titlebook: Data Science Solutions on Azure; Tools and Techniques Julian Soh,Priyanshi Singh Book 20201st edition Julian Soh and Priyanshi Singh 2020 A
描述Understand and learn the skills needed to use modern tools in Microsoft Azure. This book discusses how to practically apply these tools in the industry, and help drive the transformation of organizations into a knowledge and data-driven entity. It provides an end-to-end understanding of data science life cycle and the techniques to efficiently productionize workloads. .The book starts with an introduction to data science and discusses the statistical techniques data scientists should know. You‘ll then move on to machine learning in Azure where you will review the basics of data preparation and engineering, along with Azure ML service and automated machine learning. You‘ll also explore Azure Databricks and learn how to deploy, create and manage the same. In the final chapters you‘ll go through machine learning operations in Azure followed by the practical implementation of artificial intelligence through machine learning. .Data Science Solutions on Azure. will reveal how the different Azure services work together using real life scenarios and how-to-build solutions in a single comprehensive cloud ecosystem. .What You‘ll Learn.Understand big data analytics with Spark in Azure Databri
出版日期Book 20201st edition
关键词Azure; Data Scientist; DevOps; Azure Databricks; data abstraction; Big data analytics
版次1
doihttps://doi.org/10.1007/978-1-4842-6405-8
isbn_softcover978-1-4842-6404-1
isbn_ebook978-1-4842-6405-8
copyrightJulian Soh and Priyanshi Singh 2020
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发表于 2025-3-21 20:26:13 | 显示全部楼层
Government Regulation of Transfer PricingThe exponential pace of innovation in artificial intelligence in recent years can be attributed to advancements in machine learning. In turn, the advancements in machine learning are based on two core developments – availability of data and ubiquitous access to unparalleled compute capabilities.
发表于 2025-3-22 00:47:31 | 显示全部楼层
https://doi.org/10.1007/978-3-030-58823-6In Chapter ., we explored the concepts of Spark and Azure Databricks’ implementation of the platform. In this chapter, we will be doing a hands-on exploration of these concepts in Azure Databricks.
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发表于 2025-3-22 14:31:31 | 显示全部楼层
Hands-on with Azure Databricks,In Chapter ., we explored the concepts of Spark and Azure Databricks’ implementation of the platform. In this chapter, we will be doing a hands-on exploration of these concepts in Azure Databricks.
发表于 2025-3-22 20:28:44 | 显示全部楼层
Data Science in the Modern Enterprise,t innovation, such as machine learning (ML), artificial intelligence (AI), and Internet of Things (IoT). This is not an inaccurate representation since data science is after all the foundation for ML, AI, and IoT.
发表于 2025-3-23 00:30:50 | 显示全部楼层
Data Preparation and Data Engineering Basics,he process, which, if not done correctly, would yield inaccurate results and may lead to negative consequences. That is why so much time is being spent on data preparation. If we want to make the data science process more efficient, shaving off the amount of time spent on data preparation is one area for us to look at.
发表于 2025-3-23 04:55:43 | 显示全部楼层
Clinical Diagnosis: “Simple” Patientst innovation, such as machine learning (ML), artificial intelligence (AI), and Internet of Things (IoT). This is not an inaccurate representation since data science is after all the foundation for ML, AI, and IoT.
发表于 2025-3-23 08:14:56 | 显示全部楼层
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