MARC 닫기
03302cam a2200589Ki 4500
000001333087
20210114162036
m d
cr cnu---unuuu
190420t20192019enk o 000 0 eng d
▼a 1097256157
▼a 1789950732
▼q electronic book
▼a 9781789950731
▼q electronic book
▼a 2102158
▼b (N$T)
▼a (OCoLC)1097972859
▼z (OCoLC)1097256157
▼a E027CE0A-0C43-4D1B-9F16-DF3EFAD952EF
▼b OverDrive, Inc.
▼n http://www.overdrive.com
▼a EBLCP
▼b eng
▼e rda
▼e pn
▼c EBLCP
▼d TEFOD
▼d UKAHL
▼d TEFOD
▼d OCLCF
▼d OCLCQ
▼d YDX
▼d OCLCQ
▼d N$T
▼d YDXIT
▼d 248023
▼a QA76.9.B45
▼b M37 2019
▼a 005.7
▼2 23
▼a Marin, Ivan.
▼a Big data analysis with Python:
▼b combine Spark and Python to unlock the powers of parallel computing and machine learning /:
▼c Ivan Marin, Ankit Shukla and Sarang VK.
▼a Birmingham, UK:
▼b Packt Publishing,
▼c 2019.
▼a 1 online resource (276 pages).
▼a text
▼b txt
▼2 rdacontent
▼a computer
▼b c
▼2 rdamedia
▼a online resource
▼b cr
▼2 rdacarrier
▼a 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
▼a 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 ...
▼a Description based on online resource; title from digital title page (viewed on January 06, 2020).
▼a Master record variable field(s) change: 050, 082
▼a Spark (Electronic resource : Apache Software Foundation)
▼a Spark (Electronic resource : Apache Software Foundation)
▼2 fast
▼0 (OCoLC)fst01938143
▼a Big data.
▼a Python (Computer program language)
▼a Cloud computing.
▼a Machine learning.
▼a Big data.
▼2 fast
▼0 (OCoLC)fst01892965
▼a Cloud computing.
▼2 fast
▼0 (OCoLC)fst01745899
▼a Machine learning.
▼2 fast
▼0 (OCoLC)fst01004795
▼a Python (Computer program language)
▼2 fast
▼0 (OCoLC)fst01084736
▼a Electronic books.
▼a Shukla, Ankit.
▼a VK, Sarang.
▼i Print version:
▼a Marin, Ivan.
▼t Big Data Analysis with Python : Combine Spark and Python to Unlock the Powers of Parallel Computing and Machine Learning.
▼d Birmingham : Packt Publishing Ltd, ©2019,
▼z 9781789955286
▼3 EBSCOhost
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2102158
▼a Askews and Holts Library Services
▼b ASKH
▼n AH36174775
▼a ProQuest Ebook Central
▼b EBLB
▼n EBL5750513
▼a YBP Library Services
▼b YANK
▼n 16165126
▼a EBSCOhost
▼b EBSC
▼n 2102158
▼a 강리원
▼a eBook
▼a 92
▼b N$T
| 자료유형 : | eBook |
|---|---|
| ISBN : | 1789950732 |
| ISBN : | 9781789950731 |
| 개인저자 : | Marin, Ivan. |
| 서명/저자사항 : | 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. |
| 발행사항 : | Birmingham, UK: Packt Publishing, 2019. |
| 형태사항 : | 1 online resource (276 pages). |
| 내용주기 : | 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 |
| 요약 : | 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 ... |
| 주제명(통일서명) : | Spark (Electronic resource : Apache Software Foundation) -- |
| 주제명(통일서명) : | Spark (Electronic resource : Apache Software Foundation) -- fast -- |
| 일반주제명 : | Big data. -- |
| 일반주제명 : | Python (Computer program language) -- |
| 일반주제명 : | Cloud computing. -- |
| 일반주제명 : | Machine learning. -- |
| 일반주제명 : | Big data. -- |
| 일반주제명 : | Cloud computing. -- |
| 일반주제명 : | Machine learning. -- |
| 일반주제명 : | Python (Computer program language) -- |
| 개인저자 : | Shukla, Ankit. |
| 개인저자 : | VK, Sarang. |
| 기타형태 저록 : | Print version: Marin, Ivan. Big Data Analysis with Python : Combine Spark and Python to Unlock the Powers of Parallel Computing and Machine Learning. Birmingham : Packt Publishing Ltd, ©2019, 9781789955286 |
| 언어 | 영어 |
| URL : |
|---|
서평쓰기