LEADER 03898nam 22006375 450 001 9910483619903321 005 20240510125357.0 010 $a3-030-68291-9 024 7 $a10.1007/978-3-030-68291-0 035 $a(CKB)4100000011902610 035 $a(MiAaPQ)EBC6571560 035 $a(Au-PeEL)EBL6571560 035 $a(OCoLC)1249471764 035 $a(DE-He213)978-3-030-68291-0 035 $a(PPN)255289715 035 $a(EXLCZ)994100000011902610 100 $a20210426d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModern Approaches in Machine Learning and Cognitive Science: A Walkthrough $eLatest Trends in AI, Volume 2 /$fedited by Vinit Kumar Gunjan, Jacek M. Zurada 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (503 pages) 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v956 311 $a3-030-68290-0 327 $aUsing CNN to predict regressive STD drug efficacy score -- Emotion Recognition in Hindi Speech using CNN-LSTM Model -- Refinery Profit Planning via Evolutionary Many-Objective Optimization -- A Deep Learning Technique for Image inpainting with GANs -- A Comparative Study on Distributed File Systems. 330 $aThis book provides a systematic and comprehensive overview of machine learning with cognitive science methods and technologies which have played an important role at the core of practical solutions for a wide scope of tasks between handheld apps, industrial process control, autonomous vehicles, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The chapters in this book focus on readers interested in machine learning, cognitive and neuro-inspired computational systems ? theories, mechanisms, and architecture, which underline human and animal behaviour, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions to applications of machine learning and cognitive science such as healthcare products, medical electronics, and gaming. Overall, this book provides valuable information on effective, cutting-edge techniques and approaches for students, researchers, practitioners, and academicians working in the field of AI, neural network, machine learning, and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains. . 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v956 606 $aComputational intelligence 606 $aMachine learning 606 $aComputational Intelligence 606 $aMachine Learning 606 $aAprenentatge automàtic$2thub 606 $aIntel·ligència computacional$2thub 606 $aCiència cognitiva$2thub 608 $aLlibres electrònics$2thub 615 0$aComputational intelligence. 615 0$aMachine learning. 615 14$aComputational Intelligence. 615 24$aMachine Learning. 615 7$aAprenentatge automàtic 615 7$aIntel·ligència computacional 615 7$aCiència cognitiva 676 $a006.3 702 $aZurada$b Jacek M. 702 $aGunjan$b Vinit Kumar 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483619903321 996 $aModern approaches in machine learning and cognitive science$92494850 997 $aUNINA