Practical Machine Learning in R
暫譯: R 語言實用機器學習

Nwanganga, Fred, Chapple, Mike

Practical Machine Learning in R
  • 出版商: Wiley
  • 出版日期: 2020-05-27
  • 定價: $1,500
  • 售價: 9.5 折 $1,425
  • 語言: 英文
  • 頁數: 500
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1119591511
  • ISBN-13: 9781119591511
  • 相關分類: Machine Learning
  • 相關翻譯: R語言機器學習實戰 (簡中版)

    • 立即出貨 (庫存=1)

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商品描述

R Programming for Machine Learning shows readers machine learning with a hands on approach to the practical algorithms and applications to solve business problems with machine learning. The book begins by explaining machine learning and its organizational benefits, moves to hands on data management including dimensionality reduction, and then introduces R and the popular RStudio tool. In Unsupervised Learning the reader works with patterns including apriori and eclat and grouping data with clustering (k-means and hierarchical).
From there, R Programming for Machine Learning covers the crucial classification techniques Nearest Neighbor, Decision Trees, and Naive Bayes. The regression techniques are then covered before performance evaluation including choosing the right model and ensemble methods (Random Forest, XGBoost).

商品描述(中文翻譯)

《R 程式設計與機器學習》以實作的方式向讀者展示機器學習，著重於實用的演算法和應用，以解決商業問題。這本書首先解釋了機器學習及其對組織的好處，接著進入實作數據管理，包括降維，然後介紹 R 語言和流行的 RStudio 工具。在無監督學習中，讀者將處理模式，包括 apriori 和 eclat，並使用聚類（k-means 和層次聚類）來分組數據。

接下來，《R 程式設計與機器學習》涵蓋了關鍵的分類技術，包括最近鄰居、決策樹和朴素貝葉斯。然後介紹回歸技術，最後進行性能評估，包括選擇合適的模型和集成方法（隨機森林、XGBoost）。

作者簡介

FRED NWANGANGA, PHD, is an assistant teaching professor of business analytics at the University of Notre Dame's Mendoza College of Business. He has over 15 years of technology leadership experience.

MIKE CHAPPLE, PHD, is associate teaching professor of information technology, analytics, and operations at the Mendoza College of Business. Mike is a bestselling author of over 25 books, and he currently serves as academic director of the University's Master of Science in Business Analytics program.

作者簡介(中文翻譯)

弗雷德·恩旺甘加（FRED NWANGANGA），博士（PHD），是聖母大學（University of Notre Dame）門多薩商學院（Mendoza College of Business）商業分析的助理教學教授。他擁有超過15年的技術領導經驗。

邁克·查普爾（MIKE CHAPPLE），博士（PHD），是門多薩商學院（Mendoza College of Business）資訊科技、分析與運營的副教授。邁克是超過25本書籍的暢銷書作者，目前擔任該大學商業分析碩士（Master of Science in Business Analytics）課程的學術主任。

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