Machine Learning and Data Mining Annual Volume 2023
The interest within the academic community regarding AI has experienced exponential growth in recent years. Several key factors have contributed to this surge in interest. Firstly, the rapid advancements in AI technologies have showcased their potential to revolutionize various fields, such as healt...
সংরক্ষণ করুন:
| বিন্যাস: | Online |
|---|---|
| ভাষা: | ইংরেজি |
| প্রকাশিত: |
IntechOpen
2024
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | ONIX_20240307_9780850145144_336 |
| ট্যাগগুলো: |
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
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| _version_ | 1869528561343266816 |
|---|---|
| collection | Directory of Open Access Books |
| description | The interest within the academic community regarding AI has experienced exponential growth in recent years. Several key factors have contributed to this surge in interest. Firstly, the rapid advancements in AI technologies have showcased their potential to revolutionize various fields, such as healthcare, finance, and transportation, sparking curiosity and enthusiasm among researchers and scholars. Secondly, the availability of vast amounts of data and computing power has enabled academics to delve deeper into AI research, exploring complex algorithms and models to tackle real-world problems. Additionally, the interdisciplinary nature of AI has encouraged collaboration among experts from diverse fields like computer science, neuroscience, psychology, and ethics, fostering a rich exchange of ideas and approaches. With contributions from a diverse group of authors, this book offers a multifaceted perspective on machine learning and data mining. Whether you’re an experienced researcher or a newcomer, this collection is an essential resource for staying at the forefront of these dynamic and influential disciplines. |
| format | Online |
| id | doab-20.500.12854ir-135427 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1354272024-04-14T10:28:26Z Machine Learning and Data Mining Annual Volume 2023 Antonio Aceves-Fernández, Marco thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning The interest within the academic community regarding AI has experienced exponential growth in recent years. Several key factors have contributed to this surge in interest. Firstly, the rapid advancements in AI technologies have showcased their potential to revolutionize various fields, such as healthcare, finance, and transportation, sparking curiosity and enthusiasm among researchers and scholars. Secondly, the availability of vast amounts of data and computing power has enabled academics to delve deeper into AI research, exploring complex algorithms and models to tackle real-world problems. Additionally, the interdisciplinary nature of AI has encouraged collaboration among experts from diverse fields like computer science, neuroscience, psychology, and ethics, fostering a rich exchange of ideas and approaches. With contributions from a diverse group of authors, this book offers a multifaceted perspective on machine learning and data mining. Whether you’re an experienced researcher or a newcomer, this collection is an essential resource for staying at the forefront of these dynamic and influential disciplines. 2024-03-07T17:22:04Z 2024-03-07T17:22:04Z 2023 book ONIX_20240307_9780850145144_336 2633-1403 9780850145144 9780850145137 9780850145151 https://directory.doabooks.org/handle/20.500.12854/135427 eng Artificial Intelligence image/jpeg n/a https://www.intechopen.com/books/13954 https://mts.intechopen.com/storage/books/13954/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.113978 10.5772/intechopen.113978 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9780850145144 9780850145137 9780850145151 IntechOpen 21 150 open access |
| spellingShingle | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning Machine Learning and Data Mining Annual Volume 2023 |
| title | Machine Learning and Data Mining Annual Volume 2023 |
| title_full | Machine Learning and Data Mining Annual Volume 2023 |
| title_fullStr | Machine Learning and Data Mining Annual Volume 2023 |
| title_full_unstemmed | Machine Learning and Data Mining Annual Volume 2023 |
| title_short | Machine Learning and Data Mining Annual Volume 2023 |
| title_sort | machine learning and data mining annual volume 2023 |
| topic | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning |
| topic_facet | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning |
| url | ONIX_20240307_9780850145144_336 |