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Springer数据科学丛书(主编Fan J.)卷1,Lectures on the Nearest Neighbor Method pdf

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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 2016-6-6 17:13:06 | 显示全部楼层 |阅读模式
    Lectures on the Nearest Neighbor Method (Springer Series in the Data Sciences)pdf, 2015
    by Gérard Biau and Luc Devroye
    Springer Series in the Data Sciences
    Series Editors:
    Jianqing Fan, Princeton University
    Michael Jordan, University of California, Berkeley

    Springer Series in the Data Sciences focuses primarily on monographs and graduate
    level textbooks. The target audience includes students and researchers working in
    and across the fields of mathematics, theoretical computer science, and statistics.
    Data Analysis and Interpretation is a broad field encompassing some of the fastestgrowing
    subjects in interdisciplinary statistics, mathematics and computer science.
    It encompasses a process of inspecting, cleaning, transforming, and modeling
    data with the goal of discovering useful information, suggesting conclusions,
    and supporting decision making. Data analysis has multiple facets and approaches,
    including diverse techniques under a variety of names, in different business, science,
    and social science domains. Springer Series in the Data Sciences addresses the needs
    of a broad spectrum of scientists and students who are utilizing quantitative methods
    in their daily research.

    The series is broad but structured, including topics within all core areas of the
    data sciences. The breadth of the series reflects the variation of scholarly projects
    currently underway in the field of machine learning.

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    This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods.

    Gérard Biau is a professor at Université Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal).   



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  • TA的每日心情
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    2017-2-12 20:35
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    [LV.3]偶尔看看II

    发表于 2016-6-6 17:56:17 | 显示全部楼层
    多谢楼主分享,楼主送积分不?
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    2017-12-15 11:07
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    [LV.7]常住居民III

    发表于 2016-6-30 15:13:08 | 显示全部楼层
    谢谢楼主辛苦分享!!!!
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    发表于 2016-10-1 11:28:20 | 显示全部楼层
    Thanks a lot.
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