New Advances in Machine Learning
The purpose of this book is to provide an up-to-date and systematical introduction to the principles and algorithms of machine learning. The definition of learning is broad enough to include most tasks that we commonly call “learning” tasks, as we use the word in daily life. It is also broad enough...
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| Formato: | Online |
|---|---|
| Idioma: | inglês |
| Publicado em: |
IntechOpen
2021
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| Assuntos: | |
| Acesso em linha: | ONIX_20210420_9789533070346_183 |
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| _version_ | 1869519069013606400 |
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| collection | Directory of Open Access Books |
| description | The purpose of this book is to provide an up-to-date and systematical introduction to the principles and algorithms of machine learning. The definition of learning is broad enough to include most tasks that we commonly call “learning” tasks, as we use the word in daily life. It is also broad enough to encompass computers that improve from experience in quite straightforward ways. The book will be of interest to industrial engineers and scientists as well as academics who wish to pursue machine learning. The book is intended for both graduate and postgraduate students in fields such as computer science, cybernetics, system sciences, engineering, statistics, and social sciences, and as a reference for software professionals and practitioners. The wide scope of the book provides a good introduction to many approaches of machine learning, and it is also the source of useful bibliographical information. |
| format | Online |
| id | doab-20.500.12854ir-64827 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-648272024-04-14T10:29:15Z New Advances in Machine Learning Zhang, Yagang thema EDItEUR::U Computing and Information Technology::UG Graphical and digital media applications The purpose of this book is to provide an up-to-date and systematical introduction to the principles and algorithms of machine learning. The definition of learning is broad enough to include most tasks that we commonly call “learning” tasks, as we use the word in daily life. It is also broad enough to encompass computers that improve from experience in quite straightforward ways. The book will be of interest to industrial engineers and scientists as well as academics who wish to pursue machine learning. The book is intended for both graduate and postgraduate students in fields such as computer science, cybernetics, system sciences, engineering, statistics, and social sciences, and as a reference for software professionals and practitioners. The wide scope of the book provides a good introduction to many approaches of machine learning, and it is also the source of useful bibliographical information. 2021-04-20T14:56:26Z 2021-04-20T14:56:26Z 2010 book ONIX_20210420_9789533070346_183 9789533070346 9789535159063 https://directory.doabooks.org/handle/20.500.12854/64827 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/3752/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/225 10.5772/225 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789533070346 9789535159063 IntechOpen 374 open access |
| spellingShingle | thema EDItEUR::U Computing and Information Technology::UG Graphical and digital media applications New Advances in Machine Learning |
| title | New Advances in Machine Learning |
| title_full | New Advances in Machine Learning |
| title_fullStr | New Advances in Machine Learning |
| title_full_unstemmed | New Advances in Machine Learning |
| title_short | New Advances in Machine Learning |
| title_sort | new advances in machine learning |
| topic | thema EDItEUR::U Computing and Information Technology::UG Graphical and digital media applications |
| topic_facet | thema EDItEUR::U Computing and Information Technology::UG Graphical and digital media applications |
| url | ONIX_20210420_9789533070346_183 |