Data Science with Julia

Paul D. McNicholas, Peter Tait

Data Science with Julia
  • 出版商: CRC
  • 出版日期: 2019-01-11
  • 售價: $2,200
  • 貴賓價: 9.5 折 $2,090
  • 語言: 英文
  • 頁數: 240
  • 裝訂: Paperback
  • ISBN: 1138499986
  • ISBN-13: 9781138499980
  • 相關分類: 程式語言、Data Science

    • 立即出貨 (庫存 < 3)

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商品描述

"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

 

商品描述(中文翻譯)

「這本書是透過具有潛力的Julia語言來開始學習資料科學並成為高效能的資料科學家的絕佳途徑。」- Charles Bouveyron教授，INRIA資料科學講座教授，尼斯大學，法國

Julia是一種開源程式語言，旨在提供像R和Python這樣易於使用的語言，同時具有C和Fortran的速度。Julia是一種易於接近、直觀且高效的基礎語言，其速度超越了R和Python，使其成為資料科學的強大語言。《使用Julia進行資料科學》將使用讓讀者感興趣的眾所周知的資料科學方法，讓讀者熟悉Julia語言的關鍵功能，並展示其在資料科學和機器學習工作中的應用。

特點：
- 涵蓋Julia的核心組件以及與輸入、操作和表示數據相關的套件。
- 討論監督和非監督學習等資料科學中的幾個重要主題。
- 使用Gadfly套件進行數據可視化，該套件旨在模仿R中非常受歡迎的ggplot2套件。讀者將學習如何製作許多常見的圖表以及如何可視化模型結果。
- 展示如何優化Julia代碼以提高性能。
- 對於已經熟悉R並希望學習如何使用Julia的人來說，這將是一個理想的資料來源（儘管不需要對R或任何其他程式語言有先前的了解）。

Julia在資料科學中的優勢不容小覷。除了速度和易用性外，已經有超過1900個可用的套件，Julia可以與R、Python、Matlab、C、C++或Fortran編寫的庫進行接口（直接或通過套件）。本書適用於高年級本科生、初級研究生或實踐中的資料科學家，他們希望學習如何使用Julia進行資料科學。

「這本書是透過具有潛力的Julia語言來開始學習資料科學並成為高效能的資料科學家。」

Charles Bouveyron教授
INRIA資料科學講座教授
尼斯大學，法國

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