Learning from Data: Concepts, Theory, and Methods 豆 0.0分

资源最后更新于 2020-09-27 15:06:49

作者：Vladimir Cherkassky

出版社：Wiley-IEEE Press

出版日期：2007-01

ISBN：9780471681823

文件格式： pdf

标签： 机器学习 数据挖掘 机器学习基础 MachineLearning 统计学习 算法 statistics-theory 统计

简介· · · · · ·

An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied—showing that a f...