Machine Learning
Machine learning techniques have the potential of alleviating the complexity of knowledge acquisition. This book presents today’s state and development tendencies of machine learning. It is a multi-author book. Taking into account the large amount of knowledge about machine learning and practice pre...
محفوظ في:
| التنسيق: | Online |
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| اللغة: | الإنجليزية |
| منشور في: |
IntechOpen
2021
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| الموضوعات: | |
| الوصول للمادة أونلاين: | ONIX_20210420_9789533070339_174 |
| الوسوم: |
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
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| _version_ | 1869518460487204864 |
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| collection | Directory of Open Access Books |
| description | Machine learning techniques have the potential of alleviating the complexity of knowledge acquisition. This book presents today’s state and development tendencies of machine learning. It is a multi-author book. Taking into account the large amount of knowledge about machine learning and practice presented in the book, it is divided into three major parts: Introduction, Machine Learning Theory and Applications. Part I focuses on the introduction to machine learning. The author also attempts to promote a new design of thinking machines and development philosophy. Considering the growing complexity and serious difficulties of information processing in machine learning, in Part II of the book, the theoretical foundations of machine learning are considered, and they mainly include self-organizing maps (SOMs), clustering, artificial neural networks, nonlinear control, fuzzy system and knowledge-based system (KBS). Part III contains selected applications of various machine learning approaches, from flight delays, network intrusion, immune system, ship design to CT and RNA target prediction. 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. |
| format | Online |
| id | doab-20.500.12854ir-64818 |
| 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-648182024-04-14T10:29:15Z Machine Learning Zhang, Yagang thema EDItEUR::U Computing and Information Technology::UG Graphical and digital media applications Machine learning techniques have the potential of alleviating the complexity of knowledge acquisition. This book presents today’s state and development tendencies of machine learning. It is a multi-author book. Taking into account the large amount of knowledge about machine learning and practice presented in the book, it is divided into three major parts: Introduction, Machine Learning Theory and Applications. Part I focuses on the introduction to machine learning. The author also attempts to promote a new design of thinking machines and development philosophy. Considering the growing complexity and serious difficulties of information processing in machine learning, in Part II of the book, the theoretical foundations of machine learning are considered, and they mainly include self-organizing maps (SOMs), clustering, artificial neural networks, nonlinear control, fuzzy system and knowledge-based system (KBS). Part III contains selected applications of various machine learning approaches, from flight delays, network intrusion, immune system, ship design to CT and RNA target prediction. 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. 2021-04-20T14:56:16Z 2021-04-20T14:56:16Z 2010 book ONIX_20210420_9789533070339_174 9789533070339 9789535158998 https://directory.doabooks.org/handle/20.500.12854/64818 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/3751/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/217 10.5772/217 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789533070339 9789535158998 IntechOpen 446 open access |
| spellingShingle | thema EDItEUR::U Computing and Information Technology::UG Graphical and digital media applications Machine Learning |
| title | Machine Learning |
| title_full | Machine Learning |
| title_fullStr | Machine Learning |
| title_full_unstemmed | Machine Learning |
| title_short | Machine Learning |
| title_sort | 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_9789533070339_174 |