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CRC2015,Data Science in R: A Case Studies Approach pdf by Deborah Nolan

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  • TA的每日心情
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    2016-3-19 06:18
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    [LV.4]偶尔看看III

    发表于 2016-8-7 07:29:07 | 显示全部楼层 |阅读模式
    Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving pdf, 2015
    by Deborah Nolan and Duncan Temple Lang
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    游客,如果您要查看本帖隐藏内容请回复

    1482234815.01.S001.LXXXXXXX.jpg
    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.



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  • TA的每日心情
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    2016-8-23 21:54
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    [LV.8]以坛为家I

    发表于 2016-8-20 11:31:00 | 显示全部楼层
    Thanks for sharing
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  • TA的每日心情
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    昨天 15:17
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    [LV.10]以坛为家III

    发表于 2017-2-3 18:35:01 | 显示全部楼层
    感谢楼主辛苦分享!!
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  • TA的每日心情
    郁闷
    2017-7-5 13:19
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    [LV.6]常住居民II

    发表于 2017-2-20 16:43:35 | 显示全部楼层
    谢谢楼主分享
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    发表于 2017-11-19 13:27:36 | 显示全部楼层
    谢谢,看一下
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    发表于 2019-8-30 23:27:27 | 显示全部楼层
    Thanks for sharing!
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  • TA的每日心情
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    2018-10-20 01:08
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    [LV.1]初来乍到

    发表于 2019-9-2 16:34:48 来自手机 | 显示全部楼层
    谢谢楼主分享
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    发表于 2019-10-30 09:39:17 | 显示全部楼层
    thanks a lot
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