購物比價找書網找車網
FindBook  
 有 1 項符合

Ensemble Machine Learning using R

的圖書
Hands-On Ensemble Learning with R Hands-On Ensemble Learning with R

作者:Prabhanjan Narayanachar Tattar 
出版社:Packt Publishing
出版日期:2018-07-27
語言:英文   
圖書選購
型式價格供應商所屬目錄
電子書
$ 0
樂天KOBO 樂天KOBO
電腦
圖書介紹 - 資料來源:樂天KOBO   評分:
圖書名稱:Ensemble Machine Learning using R

Explore powerful R packages to create predictive models using ensemble methods

Key Features

  • Implement machine learning algorithms to build ensemble-efficient models
  • Explore powerful R packages to create predictive models using ensemble methods
  • Learn to build ensemble models on large datasets using a practical approach

Book Description

Ensemble techniques are used for combining two or more similar or dissimilar machine learning algorithms to create a stronger model. Such a model delivers superior prediction power and can give your datasets a boost in accuracy.

Hands-On Ensemble Learning with R begins with the important statistical resampling methods. You will then walk through the central trilogy of ensemble techniques – bagging, random forest, and boosting – then you'll learn how they can be used to provide greater accuracy on large datasets using popular R packages. You will learn how to combine model predictions using different machine learning algorithms to build ensemble models. In addition to this, you will explore how to improve the performance of your ensemble models.

By the end of this book, you will have learned how machine learning algorithms can be combined to reduce common problems and build simple efficient ensemble models with the help of real-world examples.

What you will learn

  • Carry out an essential review of re-sampling methods, bootstrap, and jackknife
  • Explore the key ensemble methods: bagging, random forests, and boosting
  • Use multiple algorithms to make strong predictive models
  • Enjoy a comprehensive treatment of boosting methods
  • Supplement methods with statistical tests, such as ROC
  • Walk through data structures in classification, regression, survival, and time series data
  • Use the supplied R code to implement ensemble methods
  • Learn stacking method to combine heterogeneous machine learning models

Who this book is for

This book is for you if you are a data scientist or machine learning developer who wants to implement machine learning techniques by building ensemble models with the power of R. You will learn how to combine different machine learning algorithms to perform efficient data processing. Basic knowledge of machine learning techniques and programming knowledge of R would be an added advantage.

贊助商廣告
 
金石堂 - 今日66折
夢、進化與價值完成有聲書第4 輯
作者:許添盛
出版社:賽斯文化
出版日期:2016-08-01
66折: $ 660 
金石堂 - 今日66折
靈魂永生有聲書第 1 輯﹝新版﹞
作者:許添盛
出版社:賽斯文化
出版日期:2016-06-14
66折: $ 660 
金石堂 - 今日66折
賽斯速成100有聲書第6輯
作者:王怡仁
出版社:賽斯文化
出版日期:2018-03-01
66折: $ 792 
金石堂 - 今日66折
改變人類命運的科學家們【全三冊】
作者:金載勳
出版社:啟動文化
出版日期:2019-10-30
66折: $ 931 
 
金石堂 - 暢銷排行榜
危險便利商店5
作者:gusao(945)
出版社:平心出版(欣燦連)
出版日期:2025-01-23
$ 300 
博客來 - 暢銷排行榜
笑中帶淚的老後日常套書:《銀髮川柳1~3》(附贈「人生滋味」插畫書籤、「一起變老吧」新春賀年狀)
作者:日本公益社團法人全國自費老人之家協會 (公益社団法人全国有料老人ホーム協会, ポプラ社編集部)
出版社:三采
出版日期:2024-12-27
$ 562 
金石堂 - 暢銷排行榜
雙子與老師(2)
作者:かきのたね
出版社:台灣東販股份有限公司
出版日期:2025-02-06
$ 111 
Taaze 讀冊生活 - 暢銷排行榜
原子習慣:細微改變帶來巨大成就的實證法則
作者:詹姆斯.克利爾
出版社:方智出版
出版日期:2019-06-01
$ 260 
 
金石堂 - 新書排行榜
秘密情事 無修正※DAV
作者:富士耶麻
出版社:未來數位有限公司
出版日期:2025-01-22
$ 253 
金石堂 - 新書排行榜
患上不出道就會死的病1+2特裝版(網路限定贈品版)
作者:DS.Back
出版社:知翎文化(欣燦連)
出版日期:2025-02-06
$ 2200 
Taaze 讀冊生活 - 新書排行榜
志願單親:不需誰來完整我,矽谷科技人的單身生養實踐
作者:Cindy
出版社:寶瓶文化事業股份有限公司
出版日期:2025-02-04
$ 252 
博客來 - 新書排行榜
膽大黨 16 (首刷限定版)
作者:龍幸伸
出版社:東立
出版日期:2025-01-23
$ 127 
 

©2025 FindBook.com.tw -  購物比價  找書網  找車網  服務條款  隱私權政策