The book entitled“Advancement and Prospect of Big Data Analytics, Artificial Intelligence, Machine Learning and Deep Learning” is compiled aiming to keep abreast with the latest technological trends for future generation of job seekers. The book with the following chapters is likely to give present scenario technological advancement as well as outlook to be adopted by stakeholders. Chapter 1: Big Data Trend Chapter2: Machine Learning Chapter-3: Artificial Intelligence Chapter-4: Deep Learning Chapter-5: Difference between Artificial Intelligence, Machine Learning, and Deep Learning? With the above chapters, the book may clarify and answer many questions like Why Is AI Taking off Now? What are the Deep Learning Tools that Drive AI Advancement? How deep learning is a new software model that needs a new computing model? Why AI researchers have adopted GPU-accelerated computing? How AI, Machine Learning and Deep Learning are close but not the same? How Personalized medicine will soon become a reality? Why Data is abundant and cheap but knowledge is scarce and expensive? Why data is the sword of the 21st century? Why there is a high demand for Data scientists? A thorough reading of the book is expected to enrich understanding about AI, Machine, Deep learning and Big Data Analytics for skill development to equip oneself for 21st century jobs
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Award winning Key Note Speaker at International Level, Professor Ajit Kumar Roy is an acclaimed researcher and consultant. Prof. Roy obtained his M.Sc. degree in Statistics and joined Agricultural Research Service (ARS) of Indian Council of Agricultural Research (ICAR) as a Scientist (Statistics) in 1976. In recent past was engaged as National Consultant (Impact Assessment), for East &North-Eastern States of India at National Agricultural Innovation Project (World Bank funded) of ICAR. Prior to that he had served as a Consultant (Statistics) at Central Agricultural University, Agartala. Earlier had served at CIFA, ICAR, as Principal Scientist and was involved in applied research in the areas of ICT, Statistics, Bioinformatics Analytics, and Economics. At International level, he served as a Computer Specialist at SAARC Agricultural Information Centre (SAIC), Dhaka, Bangladesh for over 3 years. The author with over 45 years of research and teaching experience in Statistical Analysis, Analytics, and information & Knowledge management edited eighteen books and several conference proceedings. Besides, published over 100 articles in refereed journals. His recent best-sellers are Facts and Figures of Demonetization in India-Reactions, Views and comments; Big Data and Data Science Initiative in India- Upcoming Job Opportunities: ‘Applied Big Data Analytics'; 'Impact of Big Data Analytics on Business, Economy, Health Care and Society'; 'Data Science - A Career Option for 21st Century’;’ Self-Learning of Bioinformatics Online'; 'Applied Bioinformatics, Statistics and Economics in Fisheries Research' and 'Applied Computational Biology and Statistics in Biotechnology and Bioinformatics'; Emerging Technologies of the 21st Century. Member, Organizing Committee Board for the 6th International Conference on 'Biometrics and Biostatistics’ to be held during, November 13-14, 2017 Atlanta, Georgia, USA. Editorial Board Member, Jacobs Journal of Biostatistics, Jacobs Publishers, 900 Great Hills, Trail # 150 w, Austin, Texas. Visiting Professor, question setter and examiner of four Indian Universities.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. The book entitled"Advancement and Prospect of Big Data Analytics, Artificial Intelligence, Machine Learning and Deep Learning" is compiled aiming to keep abreast with the latest technological trends for future generation of job seekers. The book with the following chapters is likely to give present scenario technological advancement as well as outlook to be adopted by stakeholders. Chapter 1: Big Data Trend Chapter2: Machine Learning Chapter-3: Artificial Intelligence Chapter-4: Deep Learning Chapter-5: Difference between Artificial Intelligence, Machine Learning, and Deep Learning? With the above chapters, the book may clarify and answer many questions like Why Is AI Taking off Now? What are the Deep Learning Tools that Drive AI Advancement? How deep learning is a new software model that needs a new computing model? Why AI researchers have adopted GPU-accelerated computing? How AI, Machine Learning and Deep Learning are close but not the same? How Personalized medicine will soon become a reality? Why Data is abundant and cheap but knowledge is scarce and expensive? Why data is the sword of the 21st century? Why there is a high demand for Data scientists? A thorough reading of the book is expected to enrich understanding about AI, Machine, Deep learning and Big Data Analytics for skill development to equip oneself for 21st century jobs Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781975918637
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