Communication Principles for Data Science (Record no. 15343)

MARC details
000 -LEADER
fixed length control field 03036nam a2200337Ia 4500
000 - LEADER
fixed length control field 04990nam a22003735i 4500
001 - CONTROL NUMBER
control field 978-981-19-8008-4
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240319120930.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230612s2023 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789811980084
-- 978-981-19-8008-4
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 5.7
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Suh, Changho.
9 (RLIN) 32947
245 ## - TITLE STATEMENT
Title Communication Principles for Data Science
Statement of responsibility, etc. by Changho Suh.
Medium [electronic resource] /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Singapore
Name of publisher, distributor, etc. Springer Nature Singapore
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 283 p. 131 illus., 103 illus. in color.
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc. 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 lecture notes that are intimately related, centered around coherent storylines and themes. It serves as a textbook mainly for a junior- or senior-level undergraduate course, yet is also suitable for a first-year graduate course. Readers benefit from having a good background in probability and random processes, and basic familiarity with Python. But the background can be supplemented by almost self-contained materials, as well as by numerous exercise problems intended for elaborating on non-trivial concepts. In addition, Part III for data science applications should provide motivation and insights to students and even professional scientists who are interested in the field.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
9 (RLIN) 32948
Topical term or geographic name entry element Computer science
9 (RLIN) 32949
Topical term or geographic name entry element Data Science.
9 (RLIN) 32950
Topical term or geographic name entry element Digital and New Media.
9 (RLIN) 32951
Topical term or geographic name entry element Digital media.
9 (RLIN) 32952
Topical term or geographic name entry element Mathematical statistics.
9 (RLIN) 32953
Topical term or geographic name entry element Probability and Statistics in Computer Science.
9 (RLIN) 32954
Topical term or geographic name entry element Signal processing.
9 (RLIN) 32955
Topical term or geographic name entry element Signal, Speech and Image Processing .
9 (RLIN) 32956
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-981-19-8008-4">https://doi.org/10.1007/978-981-19-8008-4</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type e-Book
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Barcode Date last seen Price effective from Koha item type Public note
        S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub Online   Veda Library Solutions Pvt. Ltd., Noida   EB2329 2024-03-19 2024-03-19 e-Book Platform:Springer