@article{1446401,
      recid = {1446401},
      author = {Gunjan, Vinit Kumar. and Zurada, Jacek M.},
      title = {Modern approaches in machine learning & cognitive  science : a walkthrough /},
      publisher = {Springer,},
      address = {Cham, Switzerland :},
      pages = {1 online resource (545 pages)},
      year = {2022},
      abstract = {This book provides a systematic and comprehensive overview  of AI and machine learning which have got the ability to  identify patterns in large and complex data sets. A  remarkable success has been experienced in the last decade  by emulating the brain computer interface. It presents the  cognitive science methods and technologies that 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 focuses on audiences interested in  machine learning, cognitive and neuro-inspired  computational systems, their 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 on  applications of machine learning and cognitive science such  as healthcare products, medical electronics, and gaming.},
      url = {http://library.usi.edu/record/1446401},
      doi = {https://doi.org/10.1007/978-3-030-96634-8},
}