I recommand a good book to you. It is named as The Elements of Statistical Learning: Data Mining, Inference, and Prediction. It is one of the Springer Series in Statistical. There is a sentence at the beginning of the preface. "We are drowning in information and starving for knowledge".-- Rutherford D.Roger.
It is some newly opinion of supervised and unsupervised learning to me.
"The learning problems that we consider can be roughly categorized as either supervised and unsupervised. In supervised learning, the goal is to predict the value of an outcome measure based on a number of input measures; in unsupervised learning, there is no outcome measure, and the goal is to describe the association and patterns among a set of input measures".
This book's coverage is board, from supervised learning(prediction) to unsupervised learning. The many topics include neural networks ,support vector machines, classification trees, and boosting--the first comprehensive tretment of this topic in any book.
So perfect I believe.
没有评论:
发表评论