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Machine learning : an algorithmic perspective 2nd ed

Machine learning : an algorithmic perspective 2nd ed

자료유형
단행본
개인저자
Marsland, Stephen.
서명 / 저자사항
Machine learning : an algorithmic perspective / Stephen Marsland.
판사항
2nd ed.
발행사항
Boca Raton :   CRC Press,   c2015.  
형태사항
xx, 437 p. : ill. ; 27 cm.
총서사항
Chapman & Hall/CRC machine learning & pattern recognition series
ISBN
9781466583283 1466583282
일반주기
"A Chapman & Hall book."  
내용주기
Introduction -- Preliminaries -- Neurons, neural networks, and linear discriminants -- The multi-layer perceptron -- Radial basis functions and splines -- Dimensionality reduction -- Probabilistic learning -- Support vector machines -- Optimisation and search -- Evolutionary learning -- Reinforcement learning -- Learning with trees -- Decision by committee: ensemble learning -- Unsupervised learning -- Markov chain Monte Carlo (MCMC) methods -- Graphical models -- Symmetric weights and deep belief networks -- Gaussian processes -- Python.
서지주기
Includes bibliographical references and index.
일반주제명
Machine learning. Algorithms.
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020 ▼a 9781466583283 ▼q (hardcover : alk. paper)
020 ▼a 1466583282 ▼q (hardcover : alk. paper)
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100 1 ▼a Marsland, Stephen.
245 1 0 ▼a Machine learning : ▼b an algorithmic perspective / ▼c Stephen Marsland.
250 ▼a 2nd ed.
260 ▼a Boca Raton : ▼b CRC Press, ▼c c2015.
300 ▼a xx, 437 p. : ▼b ill. ; ▼c 27 cm.
490 1 ▼a Chapman & Hall/CRC machine learning & pattern recognition series
500 ▼a "A Chapman & Hall book."
504 ▼a Includes bibliographical references and index.
505 0 0 ▼g Introduction -- ▼t Preliminaries -- ▼t Neurons, neural networks, and linear discriminants -- ▼t The multi-layer perceptron -- ▼t Radial basis functions and splines -- ▼t Dimensionality reduction -- ▼t Probabilistic learning -- ▼t Support vector machines -- ▼t Optimisation and search -- ▼t Evolutionary learning -- ▼t Reinforcement learning -- ▼t Learning with trees -- ▼t Decision by committee: ensemble learning -- ▼t Unsupervised learning -- ▼t Markov chain Monte Carlo (MCMC) methods -- ▼t Graphical models -- ▼t Symmetric weights and deep belief networks -- ▼t Gaussian processes -- ▼t Python.
650 0 ▼a Machine learning.
650 0 ▼a Algorithms.
740 0 2 ▼a Multi-layer perceptron.
830 0 ▼a Chapman & Hall/CRC machine learning & pattern recognition series.
945 ▼a KLPA

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No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 006.31 M372m2 등록번호 121231802 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

저자소개

Stephen Marsland(지은이)

정보제공 : Aladin

목차

Introduction. Linear Discriminants. The Multi-Layer Perceptron. Radial Basis Functions and Splines. Support Vector Machines. Learning with Trees. Decision by Committee: Ensemble Learning. Probability and Learning. Unsupervised Learning. Dimensionality Reduction. Optimization and Search. Evolutionary Learning. Reinforcement Learning. Markov Chain Monte Carlo (MCMC) Methods. Graphical Models. Python.


정보제공 : Aladin

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Stevens, Eli (2020)