Big data analysis with Python: combine Spark and Python to unlock the powers of parallel computing and machine learning/ Ivan Marin, Ankit Shukla and Sarang VK.

VK  Sarang.; Shukla  Ankit.; Marin Ivan.

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dc.contributor.author	Marin Ivan.
dc.contributor.author	Shukla Ankit.
dc.contributor.author	VK Sarang.
dc.date.accessioned	2024-01-26T21:38:14Z
dc.date.available	2024-01-26T21:38:14Z
dc.date.issued	2019
dc.identifier.citation	Marin Ivan. и др. Big data analysis with Python: combine Spark and Python to unlock the powers of parallel computing and machine learning - 1 online resource (276 pages) - URL: https://libweb.kpfu.ru/ebsco/pdf/2102158.pdf
dc.identifier.isbn	1789950732
dc.identifier.isbn	9781789950731
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/178526
dc.description.abstract	Processing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control the data avalanche for you. With this book, you'll learn effective techniques to aggregate data into useful dimensions for posterior analysis, extract ...
dc.description.tableofcontents	Chapter 1: The Python Data Science Stack -- Chapter 2: Statistical Visualizations -- Chapter 3: Working with Big Data Frameworks -- Chapter 4: Diving Deeper with Spark -- Chapter 5: Handling Missing Values and Correlation Analysis -- Chapter 6: Exploratory Data Analysis -- Chapter 7: Reproducibility in Big Data Analysis -- Chapter 8: Creating a Full Analysis Report
dc.language	English
dc.language.iso	en
dc.subject.other	Big data.
dc.subject.other	Python (Computer program language)
dc.subject.other	Cloud computing.
dc.subject.other	Machine learning.
dc.subject.other	Big data.
dc.subject.other	Cloud computing.
dc.subject.other	Machine learning.
dc.subject.other	Python (Computer program language)
dc.subject.other	Electronic books.
dc.title	Big data analysis with Python: combine Spark and Python to unlock the powers of parallel computing and machine learning/ Ivan Marin, Ankit Shukla and Sarang VK.
dc.type	Book
dc.description.pages	1 online resource (276 pages)
dc.collection	Электронно-библиотечные системы
dc.source.id	EN05CEBSCO05C1383