统计机器学习领域的经典著作， Vapnik大名不用多说，经典书籍

《The elements of statistical learning》第二版电子书下载

Statistical Learning Theory - Vapnik - 1998 统计学习理论经典教程 高清 可复制

Sure to be influential, Watanabe's book lays the foundations for the use of algebraic geometry in statistical learning theory. Many models/machines are singular: mixture models, neural networks, HMMs, Bayesian networks, stochastic context-free grammars are major examples. The theory achieved here underpins accurate estimation techniques in the presence of singularities.