*完成訂單後正常情形下約兩周可抵台。 *本賣場提供之資訊僅供參考,以到貨標的為正確資訊。 印行年月:202403*若逾兩年請先於私訊洽詢存貨情況,謝謝。 台灣(台北市)在地出版社,每筆交易均開具統一發票,祝您中獎最高1000萬元。 書名:Applied predictive modeling ISBN:9787523211335 出版社:世界圖書出版有限公司 著編譯者:Max Kuhn Kjell Johnson(著) 頁數:600 所在地:中國大陸 *此為代購商品 書號:1648617 可大量預訂,請先連絡。 【台灣高等教育出版社簡體書】 Applied predictive modeling 787523211335 Max Kuhn Kjell Johnson(著) 內容簡介 本書專註于預測建模的實際應用,介紹了從數據預處理到建模再到模型評估和選擇的整個過程,以及背後的統計思想,涉及各種回歸技術和分類技術。從解決實際問題延伸到模型擬合,以及隨之出現的主題,如處理類不平衡、選擇預測因子等在實踐中經常出現的問題,作者意在為讀者提供預測建模過程的指導,並結合開源軟體R語言來求解實際問題,詳細給出R代碼和處理的步驟。作者簡介 馬克斯·庫恩(Max Kuhn),康涅狄格州格羅頓市輝瑞全球研發非臨床統計部主任,在製藥和診斷行業已有近20年應用預測模型的經驗,他還是很多R包的作者。目錄 1 Introduction1 1 Prediction Versus Interpretation 1 2 Key Ingredients of Predictive Models 1 3 Terminology 1 4 Example Data Sets and Typical Data Scenarios 1 5 Overview 1 6 Notation Part I General Strategies 2 A Short Tour of the Predictive Modeling Process 2 1 Case Study: Predicting Fuel Economy 2 2 Themes 2 3 Summary 3 Data Pre-processing 3 1 Case Study: Cell Segmentation in High-Content Screening 3 2 Data Transformations for Individual Predictors 3 3 Data Transformations for Multiple Predictors 3 4 Dealing with Missing Values 3 5 Removing Predictors 3 6 Adding Predictors 3 7 Binning Predictors 3 8 Computing Exercises 4 Over-Fitting and Model Tuning 4 1 The Problem of Over-Fitting 4 2 Model Tuning 4 3 Data Splitting 4 4 Resampling Techniques 4 5 Case Study: Credit Scoring 4 6 Choosing Final Tuning Parameters 4 7 Data Splitting Recommendations 4 8 Choosing Between Models 4 9 Computing Exercises Part II Regression Models 5 Measuring Performance in Regression Models 5 1 Quantitative Measures of Performance 5 2 The Variance-Bias Trade-off 5 3 Computing 6 Linear Regression and Its Cousins 6 1 Case Study: Quantitative Structure-Activity Relationship Modeling 6 2 Linear Regression 6 3 Partial Least Squares 6 4 Penalized Models 6 5 Computing Exercises 7 Nonlinear Regression Models 7 1 Neural Networks 7 2 Multivariate Adaptive Regression Splines 7 3 Support Vector Machines 7 4 K-Nearest Neighbors 7 5 Computing Exercises 8 Regression Trees and Rule-Based Models 8 1 Basic Regression Trees 8 2 Regression Model Trees 8 3 Rule-Based Models 8 4 Bagged Trees 8 5 Random Forests 8 6 Boosting 8 7 Cubist 8 8 Computing Exercises Part III Classification Models Appendix References Indicies Computing General 詳細資料或其他書籍請至台灣高等教育出版社查詢,查後請於PChome商店街私訊告知ISBN或書號,我們即儘速上架。 |