关于统计学习入门书籍，很经典！ T. Hastie, R. Tibshirani, J. Friedman, “The Elements of statistical Learning: Data Mining, Inference, and Prediction”, 2001, Springer-Verlag
This book is a thorough introduction to the most important topics in data mining and machine learning. It begins with a detailed review of classical function estimation and proceeds with chapters on nonlinear regression, classification, and ensemble
The authoritative textbook for reinforcement learning by Richard Sutton and Andrew Barto. Contents Preface Series Forward Summary of Notation I. The Problem 1. Introduction 1.1 Reinforcement Learning 1.2 Examples 1.3 Elements of Reinforcement Learni
DataMiningWithR Data Mining with R: learning by case studies Luis Torgo LIACC-FEP, University of Porto R. Campo Alegre, 823 - 4150 Porto, Portugal email: ltorgo@liacc.up.pt http://www.liacc.up.pt/ltorgo
The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data Mining with R: Learning with Case St
Find out how to build smarter machine learning systems with R. Follow this three module course to become a more fluent machine learning practitioner. About This Book Build your confidence with R and find out how to solve a huge range of data-related
Data Mining with R Learning with Case Studies 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书
