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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.

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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


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