Methodologies and Applications of Computational Statistics for Machine Intelligence
Language: English
Published by Engineering Science Reference, 2021
- Hardcover
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Seller: Buchpark, Trebbin, GermanyBuchpark
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- Title
- Methodologies and Applications of Computational Statistics for Machine Intelligence
- Author
- Unbekannt
- Publisher
- Engineering Science Reference
- Publication year
- 2021
- Condition
- Hervorragend
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1799877019
- ISBN 13
- 9781799877011
- Seller catalogs
- Bücher
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.
"Synopsis" may belong to another edition of this title.
About the Author
Raghavendra Rao Althar has obtained his Bachelor's in Mechanical Engineering from VTU and MBA in Operations Management from Indira Gandhi Open University. His area of interest is in application of Data Science in Software Development Processes. He is Currently researching as Quality Management Specialist in a Software Development team of Insurance domain-based company. For last 15 years, he has been researching on building Quality Management Systems for various domains like manufacturing, Retail, Telecom and Software industries, based on International Standards like ISO, Six sigma and best Global practices for industry. Adopting best practices of Data Science to optimize Software Development processes and connected Business Processes has been the recent focus area. He is Six sigma Black Belt certified and Quality Management & Information Security Audit Standards certified practitioner. He is pursuing Doctor of Philosophy in Data Science from Christ (Deemed to be University), Bangalore, India since June 2020. ORCIDID: 0000-0001-5859-0662.
Sabyasachi Pramanik is a professional IEEE member. He obtained a PhD in Computer Science and Engineering from Sri Satya Sai University of Technology and Medical Sciences, Bhopal, India. Presently, he is an Associate Professor, Department of Computer Science and Engineering, Haldia Institute of Technology, India. He has many publications in various reputed international conferences, journals, and book chapters (Indexed by SCIE, Scopus, ESCI, etc). He is doing research in the fields of Artificial Intelligence, Data Privacy, Cybersecurity, Network Security, and Machine Learning. He also serves on the editorial boards of several international journals. He is a reviewer of journal articles from IEEE, Springer, Elsevier, Inderscience, IET and IGI Global. He has reviewed many conference papers, has been a keynote speaker, session chair, and technical program committee member at many international conferences. He has authored a book on Wireless Sensor Network. He has edited 8 books from IGI Global, CRC Press, Springer and Wiley Publications.
"About the title" may belong to another edition of this title.
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