000			04151nam a22003854u 4500
001			10.1002/9781394214068
003			Wiley
005			20251030120319.0
007			cr nn 008mam|a
008			240425t2024||||xxu fs| |0|| 0|eng||
020			_a9781394214068 _qelectronic
024	7		_a10.1002/9781394214068 _2doi
041			_aeng
245	0	0	_aCognitive Analytics and Reinforcement Learning _bTheories, Techniques and Applications _h[electronic resource] _cEdited by R. Elakkiya, V. Subramaniyaswamy.
250			_a1
260			_bWiley _c2024
264		1	_bWiley _c2024
300			_a384pp.;
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _2rdaft
347			_bPDF
520			_aCOGNITIVE 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.
650		4	_aRobotics _959148
650		4	_aAlgorithms & Data Structures _991502
653	0	0	_aCognitive Analytics; Reinforcement Learning; Machine Learning; Artificial Intelligence; Data Analytics; Continual Learning; Cognitive Computing; Smart City Applications; Healthcare Solutions; Incremental Learning; Cognitive Learning; Predictive Analytics; Cognitive Science; Data Science Applications; AI-driven Applications
700	1		_aElakkiya, R. _4edt _992194
700	1		_aSubramaniyaswamy, V. _4edt _992195
776	0	8	_iPrinted edition: _z9781394214037
856	4	0	_uhttps://doi.org/10.1002/9781394214068 _aWiley Online Library
856	4	0	_uhttps://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781394214068 _aWiley Online Library
856	4	2	_3Cover Image _uhttps://onlinelibrary.wiley.com/cms/asset/a1f8aeaf-6ae0-4fb3-b98e-7c9106c0db64/9781394214068.cover.gif _aWiley Online Library
999			_c67259 _d67259