| 书目名称 | Introduction to Data Science | | 副标题 | A Python Approach to | | 编辑 | Laura Igual,Santi Seguí | | 视频video | | | 概述 | Describes tools and techniques that demystify data science.Presents a focus on analytical techniques; the core toolbox for every data scientist.Includes numerous practical case studies using real-worl | | 丛书名称 | Undergraduate Topics in Computer Science | | 图书封面 |  | | 描述 | .This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; reviews a range of applications of data science, including recommender systems and sentiment analysis of text data; provides supplementary code resources and data at an associated website.. | | 出版日期 | Textbook 20171st edition | | 关键词 | Data science; Parallel computing; Python programming; Statistical inference; Graph analysis | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-50017-1 | | isbn_ebook | 978-3-319-50017-1Series ISSN 1863-7310 Series E-ISSN 2197-1781 | | issn_series | 1863-7310 | | copyright | Springer International Publishing Switzerland 2017 |
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发表于 2025-3-21 17:42:00
