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Titlebook: Communication Principles for Data Science; Changho Suh Textbook 2023 The Editor(s) (if applicable) and The Author(s), under exclusive lice

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發(fā)表于 2025-3-21 17:24:11 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Communication Principles for Data Science
編輯Changho Suh
視頻videohttp://file.papertrans.cn/231/230400/230400.mp4
概述Makes an explicit connection between the communication principles and data science problems.Presents key “plots” involved in the story and the associated fundamentals.Includes programming implementati
叢書名稱Signals and Communication Technology
圖書封面Titlebook: Communication Principles for Data Science;  Changho Suh Textbook 2023 The Editor(s) (if applicable) and The Author(s), under exclusive lice
描述.This book introduces the basic principles underlying the design and analysis of the digital communication systems that have heralded the information revolution. One major goal of the book is to demonstrate the role of the digital communication principles in a wide variety of data science applications, including community detection, computational biology, speech recognition and machine learning. .One defining feature of this book is to make an explicit connection between the communication principles and data science problems, as well as to succinctly deliver the “story” of how the communication principles play a role for trending data science applications. All the key “plots” involved in the story are coherently developed with the help of tightly coupled exercise problem sets, and the associated fundamentals are explored mostly from first principles. Another key feature is that it includes programming implementation of a variety of algorithms inspired by fundamentals, together with a brief tutorial of the used programming tools. The implementation is based on Python and TensorFlow. ..This book does not follow a traditional book-style organization, but is streamlined via a series of
出版日期Textbook 2023
關(guān)鍵詞Probability and Random Processes; Signals and Systems; Digital Communication; Data Science; Machine Lear
版次1
doihttps://doi.org/10.1007/978-981-19-8008-4
isbn_softcover978-981-19-8010-7
isbn_ebook978-981-19-8008-4Series ISSN 1860-4862 Series E-ISSN 1860-4870
issn_series 1860-4862
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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Textbook 2023es programming implementation of a variety of algorithms inspired by fundamentals, together with a brief tutorial of the used programming tools. The implementation is based on Python and TensorFlow. ..This book does not follow a traditional book-style organization, but is streamlined via a series of
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https://doi.org/10.1007/978-981-19-8008-4Probability and Random Processes; Signals and Systems; Digital Communication; Data Science; Machine Lear
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發(fā)表于 2025-3-22 05:21:48 | 只看該作者
978-981-19-8010-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Nguyen Khoi Tran,Muhammad Ali Babarsponding tradeoff between ., the data rate and the error probability. As mentioned earlier, however, the AWGN channel is not quite practical. It can serve only as a building block for practical channels.
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Stefan Biffl,Elena Navarro,Danny Weynsiver over a channel. Two prominent channels were taken into consideration: (i) the additive white Gaussian channel (in Part I); and (ii) the wireline ISI channel (in Part II). What we did repeatedly throughout is: Given an encoding strategy (e.g., sequential coding, repetition coding), we strive to:
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Communication Principles for Data Science978-981-19-8008-4Series ISSN 1860-4862 Series E-ISSN 1860-4870
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