Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications (Undergradu

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications (Undergradu pdf epub mobi txt 电子书 下载 2025

From the Back Cover

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 bookSupports understanding through hands-on experience of solving data science problems using PythonDescribes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programmingReviews a range of applications of data science, including recommender systems and sentiment analysis of text dataProvides supplementary code resources and data at an associated website<This practically-focused textbook provides an ideal introduction to the field for upper-tier undergraduate and beginning graduate students from computer science, mathematics, statistics, and other technical disciplines. The work is also eminently suitable for professionals on continuous education short courses, and to researchers following self-study courses. Dr. Laura Igualis an Associate Professor at theDepartament de Matemàtiques i Informàtica, Universitat de Barcelona, Spain.Dr. Santi Seguíis an Assistant Professor at the same institution.

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About the Author

Dr. Laura Igualis an Associate Professor at theDepartament de Matemàtiques i Informàtica, Universitat de Barcelona, Spain.Dr. Santi Seguíis an Assistant Professor at the same institution. The authors wish to mention that some chapters were co-written by Jordi Vitrià, Eloi Puertas, Petia Radeva, Oriol Pujol, Sergio Escalera, Francesc Dantí and Lluís Garrido.

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出版者:Springer
作者:Laura Igual
出品人:
页数:218
译者:
出版时间:2017-3-2
价格:USD 45.97
装帧:Paperback
isbn号码:9783319500164
丛书系列:Undergraduate Topics in Computer Science
图书标签:
  • Python 
  • Data 
  • 数据 
  •  
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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.

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书虽然很薄,但是内容还是很丰富的,跟书中说的一样,定位于入门书籍,数理统计的基本操作、机器学习、网络分析、自然语言处理等都有涉及。比较简单,代码和主要内容地址https://github.com/DataScienceUB/introduction-datascience-python-book

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一知半解

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书虽然很薄,但是内容还是很丰富的,跟书中说的一样,定位于入门书籍,数理统计的基本操作、机器学习、网络分析、自然语言处理等都有涉及。比较简单,代码和主要内容地址https://github.com/DataScienceUB/introduction-datascience-python-book

评分

一知半解

评分

书虽然很薄,但是内容还是很丰富的,跟书中说的一样,定位于入门书籍,数理统计的基本操作、机器学习、网络分析、自然语言处理等都有涉及。比较简单,代码和主要内容地址https://github.com/DataScienceUB/introduction-datascience-python-book

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