机器学方面一本很新， 很全面的书。 pdf超好。 彩版的。 Chapter What’s new 1. Introduction 2. Overview of Supervised Learning 3. Linear Methods for Regression LAR algorithm and generalizations of the lasso 4. Linear Methods for Classification Lasso path for logistic regressi
The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist ni
数据挖掘：实用机器学习工具和技术，第三版 a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed wo
During the last decade text mining has become a widely used discipline utilizing sta- tistical and machine learning methods. We present the tm package which provides a framework for text mining applications within R. We give a survey on text mining
Big Data，Data Mining，and Machine Learning（高清无水印） This book project was fi rst presented to me during my fi rst week in my current role of managing the data mining development at SAS. Writing a book has always been a bucket‐list item, and I was very
