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书名:机器学习:贝叶斯和优化方法(英文版)
简介:畅读原版机器学习经典著作,在全景式知识体系中融会传统与创新算法
作者:(希)西格尔斯·西奥多里蒂斯
出版社:机械工业出版社
出版时间:2017年05月
装订方式:平装-胶订
分类:教材|研究生/本科/专科教材|工学
经典原版书库
"synopsis" may belong to another edition of this title.
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2017-05-01 Pages: $number Publisher: Machinery Industry Press This book explores all major machine learning methods and new research trends. including probabilistic and deterministic methods and Bayesian inference methods. Among them. the classical methods include average small square filter. Kalman filter. stochastic approximation and online learning. Bayesian classification. decision . Seller Inventory # DP048942
Quantity: 3 available