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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 |