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Artificial intelligence, machine learning, and optimization tools for smart cities [Documento eletrónico] : designing for sustainability ; edited by Panos M. Pardalos, Stamatina Th. Rassia, Arsenios TsokasPublication: Cham : Springer, 2022Description: VIII, 235 p. : il.Availability:

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The 2x2 matrix [Documento eletrónico] : contingency, confusion and the metrics of binary classification / by A. J. LarnerPublication: Cham : Springer, 2021Description: XVI, 166 p. : il.Availability:

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Statistical models and methods for data science [Documento eletrónico] ; edited by Leonardo Grilli ... [et al.]Publication: Cham : Springer, 2023Description: VIII, 188 p. : il.Availability:

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Multimodal affective computing [Documento eletrónico] : technologies and applications in learning environments / by Ramón Zatarain Cabada, Héctor Manuel Cárdenas López, Hugo Jair EscalantePublication: Cham : Springer, 2023Description: XVII, 213 p. : il.Availability:

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The elements of statistical learning [Documento electrónico] : data mining, inference, and prediction / Trevor Hastie, Robert Tibshirani, Jerome FriedmanPublication: New York : Springer, 2009Description: XXII, 745 p. : il.Availability:

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Principles and theory for data mining and machine learning [Documento electrónico] / Bertrand Clarke, Ernest Fokoue, Hao Helen ZhangPublication: New York : Springer , 2009Availability:

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Probability for statistics and machine learning [Documento electrónico] : fundamentals and advanced topics / Anirban DasGuptaPublication: New York, NY : Springer, 2011Description: XX, 784 p.Availability:

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Machine learning in medicine [Documento electrónico] : cookbook / Ton J. Cleophas, Aeilko H. ZwindermanPublication: Cham : Springer International Publishing, 2014Description: XI, 137 p. : il.Availability:

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Coherence [Documento eletrónico] : in signal processing and machine learning / by David Ramírez, Ignacio Santamaría, Louis ScharfPublication: Cham : Springer International Publishing, Springer, 2022Description: XXI, 487 p. : il.Availability:

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Statistical learning and modeling in data analysis [Documento eletrónico] : methods and applications / edited by Simona Balzano ... [et al.]Publication: Cham : Springer International Publishing, Springer, 2021Description: VIII, 182 p. : il.Availability:

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Domain adaptation in computer vision with deep learning [Documento eletrónico] / edited by Hemanth Venkateswara, Sethuraman PanchanathanPublication: Cham : Springer International Publishing, 2020Description: XI, 256 p. : il.Availability:

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Deep reinforcement learning [Documento eletrónico] : fundamentals, research and applications / edited by Hao Dong, Zihan Ding, Shanghang ZhangPublication: Singapore : Springer Nature Singapore, 2020Description: XXVII, 514 p. : il.Availability:

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Mcmc from scratch [Documento eletrónico] : a practical introduction to markov chain monte carlo / by Masanori Hanada, So MatsuuraPublication: Singapore : Springer Nature Singapore, 2022Description: IX, 194 p. : il.Availability:

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Applied time series analysis and forecasting with python [Documento eletrónico] / by Changquan Huang, Alla PetukhinaPublication: Cham : Springer International Publishing, 2022Description: X, 372 p. : il.Availability:

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Reinforcement learning from scratch [Documento eletrónico] : understanding current approaches - with examples in java and greenfoot / by Uwe LorenzPublication: Cham : Springer International Publishing, Springer, 2022Description: XIV, 184 p. : il.Availability:

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The beginner's guide to data science [Documento eletrónico] / by Robert Ball, Brian RaguePublication: Cham : Springer International Publishing, Springer, 2022Description: XI, 248 p. : il.Availability:

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Machine learning for authorship attribution and cyber forensics [Documento eletrónico] / by Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. FungPublication: Cham : Springer International Publishing, Springer, 2020Description: IX, 158 p. : il.Availability:

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Algorithmic learning in a random world [Documento eletrónico] / Vladimir Vovk, Alexander Gammerman, Glenn ShaferPublication: Cham : Springer International Publishing, 2022Description: XXVI, 476 p. : il.Availability:

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Machine learning algorithms [Documento eletrónico] : adversarial robustness in signal processing / Fuwei Li, Lifeng Lai, Shuguang CuiPublication: Cham : Springer International Publishing, 2022Description: IX, 104 p. : il.Availability:

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Reinforcement learning with hybrid quantum approximation in the NISQ context [Documento eletrónico] / Leonhard KunczikPublication: Wiesbaden : Springer Fachmedien Wiesbaden, Springer Vieweg, 2022Description: XVIII, 134 p. : il.Availability:

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