Information Theory for Data Science
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...
Sábháilte in:
| Príomhchruthaitheoir: | |
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| Formáid: | Online |
| Teanga: | Béarla |
| Foilsithe / Cruthaithe: |
Now Publishers
2024
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| Ábhair: | |
| Rochtain ar líne: | OCN: 1375174159 |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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| _version_ | 1869519230568759296 |
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| author | Suh, Changho |
| author_browse | Suh, Changho |
| author_facet | Suh, Changho |
| author_sort | Suh, Changho |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-133499 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Now Publishers |
| publisherStr | Now Publishers |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1334992025-07-17T10:00:18Z Information Theory for Data Science Suh, Changho Information Theory, Data Science, Source Coding, Channel Coding, DNA sequencing, DNA sequencing, Top-K ranking, Supervised learning, Unsupervised Learning, Generative Adversarial Networks (GANs), TensorFlow thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics 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. 2024-01-25T04:13:22Z 2024-01-25T04:13:22Z 2024-01-24T13:03:49Z 2023 book OCN: 1375174159 https://library.oapen.org/handle/20.500.12657/87165 9781638281146 https://directory.doabooks.org/handle/20.500.12854/133499 eng NowOpen open access image/jpeg image/jpeg image/jpeg image/jpeg Attribution-NonCommercial 4.0 International Attribution-NonCommercial 4.0 International Attribution-NonCommercial 4.0 International Attribution-NonCommercial 4.0 International https://library.oapen.org/bitstream/20.500.12657/87165/1/9781638281153.pdf https://library.oapen.org/bitstream/20.500.12657/87165/1/9781638281153.pdf https://library.oapen.org/bitstream/20.500.12657/87165/1/9781638281153.pdf https://library.oapen.org/bitstream/20.500.12657/87165/1/9781638281153.pdf Now Publishers 10.1561/9781638281153 10.1561/9781638281153 53ae8601-d009-4a47-bfed-73b89c40b091 9781638281146 417 open access |
| spellingShingle | Information Theory, Data Science, Source Coding, Channel Coding, DNA sequencing, DNA sequencing, Top-K ranking, Supervised learning, Unsupervised Learning, Generative Adversarial Networks (GANs), TensorFlow thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics Suh, Changho Information Theory for Data Science |
| title | Information Theory for Data Science |
| title_full | Information Theory for Data Science |
| title_fullStr | Information Theory for Data Science |
| title_full_unstemmed | Information Theory for Data Science |
| title_short | Information Theory for Data Science |
| title_sort | information theory for data science |
| topic | Information Theory, Data Science, Source Coding, Channel Coding, DNA sequencing, DNA sequencing, Top-K ranking, Supervised learning, Unsupervised Learning, Generative Adversarial Networks (GANs), TensorFlow thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics |
| topic_facet | Information Theory, Data Science, Source Coding, Channel Coding, DNA sequencing, DNA sequencing, Top-K ranking, Supervised learning, Unsupervised Learning, Generative Adversarial Networks (GANs), TensorFlow thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics |
| url | OCN: 1375174159 |
| work_keys_str_mv | AT suhchangho informationtheoryfordatascience |