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Titlebook: Machine Learning: Theoretical Foundations and Practical Applications; Manjusha Pandey,Siddharth Swarup Rautaray Book 2021 The Editor(s) (i

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書目名稱Machine Learning: Theoretical Foundations and Practical Applications
編輯Manjusha Pandey,Siddharth Swarup Rautaray
視頻videohttp://file.papertrans.cn/621/620762/620762.mp4
概述Discusses applications of machine learning.Presents chapters invited and written by experts at 10th industry symposium in Bhubaneswar, India.Serves as a reference resource for researchers and practiti
叢書名稱Studies in Big Data
圖書封面Titlebook: Machine Learning: Theoretical Foundations and Practical Applications;  Manjusha Pandey,Siddharth Swarup Rautaray Book 2021 The Editor(s) (i
描述.This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9–12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning algorithms and applications, feature extraction and classification, theories and models for plausible reasoning, computational learning theory, cognitive modelling and hybrid learning algorithms.?.
出版日期Book 2021
關(guān)鍵詞Machine Learning Applications; Theoretical Concepts; Applications; Analytic; Pre-Processing; DALC; ML and
版次1
doihttps://doi.org/10.1007/978-981-33-6518-6
isbn_softcover978-981-33-6520-9
isbn_ebook978-981-33-6518-6Series ISSN 2197-6503 Series E-ISSN 2197-6511
issn_series 2197-6503
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Studies in Big Datahttp://image.papertrans.cn/m/image/620762.jpg
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Machine Learning: Theoretical Foundations and Practical Applications978-981-33-6518-6Series ISSN 2197-6503 Series E-ISSN 2197-6511
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ly scattered throughout the literature.Gives a clear introduThis book provides a detailed introduction to recent developments in the theory of linear differential systems and integrable total differential systems. Starting from the basic theory of linear ordinary differential equations and integrabl
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Vijay Bhaskar Semwal,Arghya Mazumdar,Ashish Jha,Neha Gaud,Vishwanath Bijalwanematical modeling of these systems using linear algebra and quantum stochastic calculus as the main tools for a treatment that?emphasizes a system-theoretic point of view and the control-theoretic formulations of quantum versions of familiar problems from the classical (non-quantum) setting, includi
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