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Elakkiya R | Akateeminen Kirjakauppa

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Cognitive Analytics and Reinforcement Learning - Theories, Techniques and Applications
Elakkiya R.; Subramaniyaswamy V.
John Wiley & Sons Inc (2024)
Kovakantinen kirja
172,20
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Green Machine Learning and Big Data for Smart Grids - Practices and Applications
V. Indragandhi; R. Elakkiya; V. Subramaniyaswamy
Elsevier - Health Sciences Division (2024)
Pehmeäkantinen kirja
174,00
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ostoskoriin kpl
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Cognitive Analytics and Reinforcement Learning -  Theories, Techniques and Applications
R Elakkiya
John Wiley & Sons (2024)
Muu digitaalinen tallenne
196,30
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ostoskoriin kpl
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Computational Intelligence and Network Systems - First International Conference, CINS 2023, Dubai, United Arab Emirates, October
Raja Muthalagu; Tamizharasan P S; Pranav M. Pawar; Elakkiya R; Neeli Rashmi Prasad; Michele Fiorentino
Springer International Publishing AG (2023)
Pehmeäkantinen kirja
59,30
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ostoskoriin kpl
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Digital Geography : Proceedings of the International Conference on Internet and Modern Society (IMS 2023)
Maxim Bakaev (ed.); Radomir Bolgov (ed.); Andrei V. Chugunov (ed.); Roberto Pereira (ed.); Elakkiya R (ed.); Wei (ed Zhang
Springer (2024)
Kovakantinen kirja
172,80
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ostoskoriin kpl
Siirry koriin
Cognitive Analytics and Reinforcement Learning - Theories, Techniques and Applications
172,20 €
John Wiley & Sons Inc
Sivumäärä: 384 sivua
Asu: Kovakantinen kirja
Julkaisuvuosi: 2024, 19.04.2024 (lisätietoa)
Kieli: Englanti
COGNITIVE ANALYTICS AND REINFORCEMENT LEARNING The combination of cognitive analytics and reinforcement learning is a transformational force in the field of modern technological breakthroughs, reshaping the decision-making, problem-solving, and innovation landscape; this book offers an examination of the profound overlap between these two fields and illuminates its significant consequences for business, academia, and research.

Cognitive analytics and reinforcement learning are pivotal branches of artificial intelligence. They have garnered increased attention in the research field and industry domain on how humans perceive, interpret, and respond to information. Cognitive science allows us to understand data, mimic human cognitive processes, and make informed decisions to identify patterns and adapt to dynamic situations. The process enhances the capabilities of various applications.

Readers will uncover the latest advancements in AI and machine learning, gaining valuable insights into how these technologies are revolutionizing various industries, including transforming healthcare by enabling smarter diagnosis and treatment decisions, enhancing the efficiency of smart cities through dynamic decision control, optimizing debt collection strategies, predicting optimal moves in complex scenarios like chess, and much more. With a focus on bridging the gap between theory and practice, this book serves as an invaluable resource for researchers and industry professionals seeking to leverage cognitive analytics and reinforcement learning to drive innovation and solve complex problems.

The book’s real strength lies in bridging the gap between theoretical knowledge and practical implementation. It offers a rich tapestry of use cases and examples. Whether you are a student looking to gain a deeper understanding of these cutting-edge technologies, an AI practitioner seeking innovative solutions for your projects, or an industry leader interested in the strategic applications of AI, this book offers a treasure trove of insights and knowledge to help you navigate the complex and exciting world of cognitive analytics and reinforcement learning.

Audience

The book caters to a diverse audience that spans academic researchers, AI practitioners, data scientists, industry leaders, tech enthusiasts, and educators who associate with artificial intelligence, data analytics, and cognitive sciences.

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Tilaustuote | Arvioimme, että tuote lähetetään meiltä noin 3-4 viikossa
Myymäläsaatavuus
Helsinki
Tapiola
Turku
Tampere
Cognitive Analytics and Reinforcement Learning - Theories, Techniques and Applicationszoom
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ISBN:
9781394214037
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