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Titlebook: Introduction to Data Science; A Python Approach to Laura Igual,Santi Seguí Textbook 20171st edition Springer International Publishing Switz

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書目名稱Introduction to Data Science
副標(biāo)題A Python Approach to
編輯Laura Igual,Santi Seguí
視頻videohttp://file.papertrans.cn/474/473595/473595.mp4
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
叢書名稱Undergraduate Topics in Computer Science
圖書封面Titlebook: Introduction to Data Science; A Python Approach to Laura Igual,Santi Seguí Textbook 20171st edition Springer International Publishing Switz
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
關(guān)鍵詞Data science; Parallel computing; Python programming; Statistical inference; Graph analysis
版次1
doihttps://doi.org/10.1007/978-3-319-50017-1
isbn_ebook978-3-319-50017-1Series ISSN 1863-7310 Series E-ISSN 2197-1781
issn_series 1863-7310
copyrightSpringer International Publishing Switzerland 2017
The information of publication is updating

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Laura Igual,Santi Seguía low-dimensional vector representation, which is easily integrable in modern machine learning models, has played a central role in the development of NLP. Embedding techniques initially focused on words, but the attention soon started to shift to other forms: from graph structures, such as knowledg
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Laura Igual,Santi Seguí Miller 2001; Lerner and Lerner 1981; Bies and Moag 1986; Bies and Tripp 2002; Mikula 1986), including anger, hostility, shame or guilt (Harlos and Pinder 2000; see also Dalbert, Chap. 2.3, this volume). One specific emotional reaction to perceived injustice, degradation, devaluation or humiliation
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Laura Igual,Santi Seguí Miller 2001; Lerner and Lerner 1981; Bies and Moag 1986; Bies and Tripp 2002; Mikula 1986), including anger, hostility, shame or guilt (Harlos and Pinder 2000; see also Dalbert, Chap. 2.3, this volume). One specific emotional reaction to perceived injustice, degradation, devaluation or humiliation
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Laura Igual,Santi Seguí illness), when persons have the subjective experience of unfair treatment by significant others. It may be an exaggerated response in the case of actual injustice, or a reinterpretation of a crisis of one’s own making as a misfortune caused by others. In addition to embitterment, patients show aggr
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