https://www.babli-omeka.rguclass.com/files/original/7f48e3dcf3c927fa1d25895dde836513.pdf 645a0e6cda986ee8fa8af2ab4d46b327 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Information Theory for Data Science Subject The topic of the resource Information science libraries Description An account of the resource Information theory deals with mathematical laws that govern the flow, representation and transmission of information. The most significant achievement of the field is the invention of digital communication which forms the basis of our daily-life digital products such as smart phones, laptops and any IoT devices. Recently it has also found important roles in a spotlight field that has been revolutionized during the past decades: data science. This book aims at demonstrating modern roles of information theory in a widening array of data science applications. The first and second parts of the book covers the core concepts of information theory: basic concepts on several key notions; and celebrated source and channel coding theorems which concern the fundamental limits of communication. The last part focuses on applications that arise in data science, including social networks, ranking, and machine learning. The book is written as a text for senior undergraduate and graduate students working on Information Theory and Communications, and it should also prove to be a valuable reference for professionals and engineers from these fields. Creator An entity primarily responsible for making the resource Suh, Changho Publisher An entity responsible for making the resource available Now Publishers Date A point or period of time associated with an event in the lifecycle of the resource 2023 Rights Information about rights held in and over the resource open access Relation A related resource 9781638281146 Language A language of the resource English Type The nature or genre of the resource Book Identifier An unambiguous reference to the resource within a given context https://library.oapen.org/handle/20.500.12657/87165 VRA Core VRA Core standard for artistic pieces and cultural heritage artifacts. The first input will be treated as a <display> element. More detailed VRA Core metadata is available below that input. Title The title or identifying phrase given to a Work or an Image. Information Theory for Data Science Date Date or range of dates associated with the creation, design, production, presentation, performance, construction, or alteration, etc. of the work or image. Dates may be expressed as free text or numerical. In format yyyy-mm-dd yyyy-mm-dd. 2024-01-25 Description A free-text note about the Work, Collection, or Image, including comments, description, or interpretation, that gives additional information not recorded in other categories. Information theory deals with mathematical laws that govern the flow, representation and transmission of information. The most significant achievement of the field is the invention of digital communication which forms the basis of our daily-life digital products such as smart phones, laptops and any IoT devices. Recently it has also found important roles in a spotlight field that has been revolutionized during the past decades: data science. This book aims at demonstrating modern roles of information theory in a widening array of data science applications. The first and second parts of the book covers the core concepts of information theory: basic concepts on several key notions; and celebrated source and channel coding theorems which concern the fundamental limits of communication. The last part focuses on applications that arise in data science, including social networks, ranking, and machine learning. The book is written as a text for senior undergraduate and graduate students working on Information Theory and Communications, and it should also prove to be a valuable reference for professionals and engineers from these fields. Location The geographic location and/or name of the repository, building, site, or other entity whose boundaries include the Work or Image. United States Relation Terms or phrases describing the identity of the related work and the relationship between the work being cataloged and the related work or image. 9781638281146 Rights Information about the copyright status and the rights holder for a work, collection, or image open access