Multivariate Statistics and Machine Learning: An Introduction to Applied Data Science Using R and Python (Paperback)
暫譯: 多變量統計與機器學習:使用 R 和 Python 的應用數據科學入門(平裝本)

Denis, Daniel J.

  • 出版商: Routledge
  • 出版日期: 2025-12-03
  • 售價: $2,960
  • 貴賓價: 9.5$2,812
  • 語言: 英文
  • 頁數: 584
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032454288
  • ISBN-13: 9781032454283
  • 相關分類: R 語言PythonMachine Learning
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Multivariate Statistics and Machine Learning is a hands-on textbook providing an in-depth guide to multivariate statistics and select machine learning topics using R and Python software.

The book offers a theoretical orientation to the concepts required to introduce or review statistical and machine learning topics, and in addition to teaching the techniques, instructs readers on how to perform, implement, and interpret code and analyses in R and Python in multivariate, data science, and machine learning domains. For readers wishing for additional theory, numerous references throughout the textbook are provided where deeper and less "hands on" works can be pursued.

With its unique breadth of topics covering a wide range of modern quantitative techniques, user-friendliness, and quality of expository writing, Multivariate Statistics and Machine Learning will serve as a key and unifying introductory textbook for students in the social, natural, statistical, and computational sciences for years to come.

商品描述(中文翻譯)

《多變量統計與機器學習》是一本實用的教科書,提供了使用 R 和 Python 軟體進行多變量統計及選定機器學習主題的深入指南。

本書對於介紹或回顧統計和機器學習主題所需的概念提供了理論導向,除了教授技術外,還指導讀者如何在多變量、數據科學和機器學習領域中執行、實現和解釋 R 和 Python 中的程式碼及分析。對於希望獲得更多理論的讀者,本教科書中提供了大量參考資料,以便深入研究那些較少「實作」的作品。

《多變量統計與機器學習》涵蓋了廣泛的現代定量技術,具備使用者友好性和優質的說明文寫作,將成為社會科學、自然科學、統計學和計算科學學生多年來的重要且統一的入門教科書。

作者簡介

Daniel J. Denis, Ph.D., is Professor of Quantitative Psychology at the University of Montana, U.S.A, where he has taught applied statistics courses since 2004. He is author of Applied Univariate, Bivariate, and Multivariate Statistics and Applied Univariate, Bivariate, and Multivariate Statistics Using Python.

作者簡介(中文翻譯)

丹尼爾·J·丹尼斯(Daniel J. Denis, Ph.D.)是美國蒙大拿大學(University of Montana)定量心理學的教授,自2004年以來教授應用統計課程。他是《應用單變量、雙變量和多變量統計》(Applied Univariate, Bivariate, and Multivariate Statistics)以及《使用Python的應用單變量、雙變量和多變量統計》(Applied Univariate, Bivariate, and Multivariate Statistics Using Python)的作者。