Data Science in R CRC 2015

相似文件 换一批

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

Features

• Explores how computing is done for a broad range of data science problems
• Includes authentic real-world data analysis projects that tie concepts into a data science workflow and illustrate the everyday activities of data scientists across a spectrum of fields
• Shows how to read and transform raw data, manipulate and visualize the resulting data, and use statistical techniques to solve a problem or understand relationships between variables
• Describes the use of simulation to understand stochastic processes and model interesting situations
• Covers various data technologies, including databases, visualization with KML, and scraping data from Web pages with HTTP requests and text processing
• 
  
  

Summary
Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and Computation

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts approach a problem and reason about different ways of implementing solutions.

The book’s collection of projects, comprehensive sample solutions, and follow-up exercises encompass practical topics pertaining to data processing, including:

• Non-standard, complex data formats, such as robot logs and email messages
• Text processing and regular expressions
• Newer technologies, such as Web scraping, Web services, Keyhole Markup Language (KML), and Google Earth
• Statistical methods, such as classification trees, k-nearest neighbors, and naïve Bayes
• Visualization and exploratory data analysis
• Relational databases and Structured Query Language (SQL)
• Simulation
• Algorithm implementation
• Large data and efficiency
• Suitable for self-study or as supplementary reading in a statistical computing course, the book enables instructors to incorporate interesting problems into their courses so that students gain valuable experience and data science skills. Students learn how to acquire and work with unstructured or semistructured data as well as how to narrow down and carefully frame the questions of interest about the data.
  

Blending computational details with statistical and data analysis concepts, this book provides readers with an understanding of how professional data scientists think about daily computational tasks. It will improve readers’ computational reasoning of real-world data analyses.

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏4 回帖

关键词：Data Science Science Data SCIE SCI understand activities techniques computing concepts

Have not I seen it posted before??

thanks for sharing

thanks!

下来看看，谢谢分享！

谢谢分享，中秋快乐