Data Mining and Exploration: From Traditional Statistics to Modern Data Science

Alex Yu, Chong Ho

Data Mining and Exploration: From Traditional Statistics to Modern Data Science

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商品描述

This book covers both conceptual and procedural aspects of cutting-edge data mining methods, and the path for transitioning from classical statistics and modern data science. Readers will learn how various open source and commercial software modules can be properly applied to different situations.

商品描述(中文翻譯)

本書涵蓋了尖端資料挖掘方法的概念性和程序性方面，以及從傳統統計學過渡到現代資料科學的途徑。讀者將學習如何將各種開源和商業軟體模組正確應用於不同情境。

作者簡介

Chong Ho Alex Yu has a Ph.D. in Educational Psychology with a focus on Measurement, Statistics, and Methodological Studies, and a Ph.D. in Philosophy with specialization in History and Philosophy of Science (Arizona State University). He joined Azusa Pacific University in 2012 and has served in various positions, including Director of Data Analytics, Professor of Behavioural and Applied Science, Adjunct Faculty of Mathematics, Quantitative Research Consultant, and Committee chair of the Big Data Discovery Summit.

作者簡介(中文翻譯)

Chong Ho Alex Yu 擁有教育心理學博士學位，專注於測量、統計和方法論研究，以及哲學博士學位，專攻科學的歷史與哲學（亞利桑那州立大學）。他於2012年加入阿祖薩太平洋大學，擔任過多個職位，包括數據分析主任、行為與應用科學教授、數學兼任教員、定量研究顧問，以及大數據發現峰會的委員會主席。

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