Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Book Faculty Publications- Book Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Methodologies and Applications of Computational Statistics for Machine Intelligence Description An account of the resource With the field of computational statistics growing rapidly, there is a need for capturing the advances and assessing their impact. Advances in simulation and graphical analysis also add to the pace of the statistical analytics field. Computational statistics play a key role in financial applications, particularly risk management and derivative pricing, biological applications including bioinformatics and computational biology, and computer network security applications that touch the lives of people. With high impacting areas such as these, it becomes important to dig deeper into the subject and explore the key areas and their progress in the recent past. Methodologies and Applications of Computational Statistics for Machine Intelligence serves as a guide to the applications of new advances in computational statistics. This text holds an accumulation of the thoughts of multiple experts together, keeping the focus on core computational statistics that apply to all domains. Covering topics including artificial intelligence, deep learning, and trend analysis, this book is an ideal resource for statisticians, computer scientists, mathematicians, lecturers, tutors, researchers, academic and corporate libraries, practitioners, professionals, students, and academicians. 2021, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Samanta D.; Althar R.R.; Pramanik S.; Dutta S. Source A related resource from which the described resource is derived Methodologies and Applications of Computational Statistics for Machine Intelligence, pp. 1-277. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/978-1-7998-7701-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-7998-7701-1</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127935798&amp;doi=10.4018%2F978-1-7998-7701-1&amp;partnerID=40&amp;md5=19cb53b13d9b4a8cd4a32e5d8ddd41ee" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127935798&amp;doi=10.4018%2f978-1-7998-7701-1&amp;partnerID=40&amp;md5=19cb53b13d9b4a8cd4a32e5d8ddd41ee</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-179987703-5; 978-179987701-1 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Samanta D., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Althar R.R., Christ (Deemed to be University), QMS, First American India, Bangalore, India; Pramanik S., Department of Computer Science and Engineering, Haldia Institute of Technology, India; Dutta S., Institute of Engineering and Management, Kolkata, India