| 書目名稱 | Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough | | 副標題 | Volume 4 | | 編輯 | Vinit Kumar Gunjan,Jacek M. Zurada,Ninni Singh | | 視頻video | http://file.papertrans.cn/637/636931/636931.mp4 | | 概述 | Provides a systematic and comprehensive overview of AI and machine learning.Contains the contents on recent trends and approaches of Machine Learning and Cognitive Science.Presents methods and technol | | 叢書名稱 | Studies in Computational Intelligence | | 圖書封面 |  | | 描述 | This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain–computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development..The book contains contents highlighting artificial neural networks that are analogous to the networks of neurons that comprise the brain and have given computers the ability to distinguish an image of a cat from one of a coconut, to spot pedestrians with enough accuracy to direct a self-driving car, and to recognize and respond to the spoken word. The chapters in this book focus on audiences interested in artificial intelligence, machine learni | | 出版日期 | Book 2024 | | 關(guān)鍵詞 | Computational Intelligence; Artificial Intelligence; Machine Learning; Cognitive Computing; Data Analyti | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-43009-1 | | isbn_softcover | 978-3-031-43011-4 | | isbn_ebook | 978-3-031-43009-1Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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