Introduction to Data Science

丛 书 名：Undergraduate Topics in Computer Science

版本说明：1st ed. 2017

作     者：Laura Igual Santi Seguí 

I S B N：(纸本) 9783319500164 

出 版 社：Springer International Publishing 

出 版 年：2017年

页      数：218 pages :页

主 题 词：Quantitative research. Python (Computer program language) 

学科分类：08[工学] 0835[工学-软件工程] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

摘      要：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.