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“Data Science with Julia (English Edition)”,作者:[McNicholas, Paul D., Tait, Peter]

Data Science with Julia (English Edition) Kindle电子书

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2019年1月2日 1

"This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."- Professor Charles Bouveyron, INRIA Chair in Data Science, Université Côte d’Azur, Nice, France



Julia, an open-source programming language, was created to be as easy to use as languages such as R and Python while also as fast as C and Fortran. An accessible, intuitive, and highly efficient base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods that will motivate the reader, Data Science with Julia will get readers up to speed on key features of the Julia language and illustrate its facilities for data science and machine learning work.



Features:




  • Covers the core components of Julia as well as packages relevant to the input, manipulation and representation of data.



  • Discusses several important topics in data science including supervised and unsupervised learning.



  • Reviews data visualization using the Gadfly package, which was designed to emulate the very popular ggplot2 package in R. Readers will learn how to make many common plots and how to visualize model results.



  • Presents how to optimize Julia code for performance.



  • Will be an ideal source for people who already know R and want to learn how to use Julia (though no previous knowledge of R or any other programming language is required).



The advantages of Julia for data science cannot be understated. Besides speed and ease of use, there are already over 1,900 packages available and Julia can interface (either directly or through packages) with libraries written in R, Python, Matlab, C, C++ or Fortran. The book is for senior undergraduates, beginning graduate students, or practicing data scientists who want to learn how to use Julia for data science.



"This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."



Professor Charles Bouveyron
INRIA Chair in Data Science
Université Côte d’Azur, Nice, France



基本信息

  • 版本: Kindle电子书
  • 文件大小: 11198 KB
  • 纸书页数: 240
  • 同步设备使用情况: 根据出版商限制,最多 4 台同步设备
  • 出版社: Chapman and Hall/CRC; 1 (2019年1月2日)
  • 语种: 英语
  • ASIN: B07ML4SBRN
  • 标准语音朗读: 未启用
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美国亚马逊: 2.6 颗星,最多 5 颗星 4 条评论
Talistan
5.0 颗星,最多 5 颗星Great way to get a well rounded insight into datascience
2019年5月25日 - 已在美国亚马逊上发表
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Zhuo Jia Dai
1.0 颗星,最多 5 颗星I think it's a rather weak entry to your data science shelf
2019年5月8日 - 已在美国亚马逊上发表
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JoeT
3.0 颗星,最多 5 颗星Just OK
2019年8月7日 - 已在美国亚马逊上发表
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Alghwiri
1.0 颗星,最多 5 颗星Not a good reference
2019年7月12日 - 已在美国亚马逊上发表
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