Machine Learning Bayesian Optimization by Duo (3 results)
Language: English
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Seller: liu xing, Nanjing, JS, Chinaliu xing
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paperback. Condition: New. Paperback.Pub Date:2022-01-01 Pages:828 Language:Chinese Publisher:Machinery Industry Press Machine Learning: Bayesian and Optimization Methods (Original Book 2nd Edition) for all important machine learning methods and recent research The trend has been deeply explored. By explaining the two pillars of… supervised learningregression and classification. these complicated methods are opened up one by one from a panoramic perspective. forming a clear machine learning knowledge system. The new edi.
Machine learning: Bayesian and optimization methods (English version2nd edition of the original book)(Chinese Edition)
[ XI ] XI GE ER SI XI AO DUO LI DI SI ( Sergios Theodoridis )
- Softcover
Seller: liu xing, Nanjing, JS, Chinaliu xing
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£ 240.65
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paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2020-12-01 Pages:1152 Publisher: Machinery Industry Press This book introduces the two pillars of supervised learning-regression and classification-and brings machine learning into a unified perspective to discuss.?The book first discusses basic knowledge. includin…g mean squares. *small squares and maximum likelihood methods. ridge regression. Bayesian decision theory classification. logistic regression. and decision trees.?Then introduce the latest techn.
- Softcover
Seller: liu xing, Nanjing, JS, Chinaliu xing
Contact seller5-star sellerCondition: New
£ 214.38
£ 13.31 shippingShips from China to U.S.A.Quantity: 3 available
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 .
