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Prateek Agrawal Charu Gupta Anand (37 results)
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Knowledge Engineering for Modern Information Systems - Anand Sharma - HBK New
Seller: Devils in the Detail Ltd, Oxford, United Kingdom
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£ 79.59
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 238 | Sprache: Englisch | Produktart: Bücher.
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£ 76.63
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Add to baskethardcover. Condition: New. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped.
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Knowledge Engineering for Modern Information Systems : Methods, Models and Tools
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Knowledge Engineering for Modern Information Systems: Methods, Models and Tools (Smart Computing Applications, 3)
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£ 129.54
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Add to basketCondition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Knowledge Engineering for Modern Information Systems : Methods, Models and Tools
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Add to basketHardback. Condition: New. Knowledge Engineering (KE) is a field within artificial intelligence that develops knowledgebased systems. KE is the process of imitating how a human expert in a specific domain would act and take decisions. It contains large amounts of knowledge, like metadata and information about a data object that describes characteristics such as content, quality, and format, structure and processes. Such systems are computer programs that are the basis of how a decision is made or a conclusion is reached. It is having all the rules and reasoning mechanisms to provide solutions to real-world problems. This book presents an extensive collection of the recent findings and innovative research in the information system and KE domain. Highlighting the challenges and difficulties in implementing these approaches, this book is a critical reference source for academicians, professionals, engineers, technology designers, analysts, undergraduate and postgraduate students in computing science and related disciplines such as Information systems, Knowledge Engineering, Intelligent Systems, Artifi cial Intelligence, Cognitive Neuro - science, and Robotics. In addition, anyone who is interested or involved in sophisticated information systems and knowledge engineering developments will find this book a valuable source of ideas and guidance.
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£ 135.52
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Knowledge Engineering for Modern Information Systems: Methods, Models and Tools
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Machine Learning and Data Science
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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£ 148.84
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Machine Learning and Data Science : Fundamentals and Applications
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Condition: New. pp. 350.
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£ 156.16
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£ 143.45
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Add to basketGebunden. Condition: New. S. Kautish, LBEF P. Agrawal, Univ. of Klagenfurt V. Madaan, LPU C. Gupta, Bhagwan Inst. of Techn. S. Nanda.
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Machine Learning And Data Science: Fundamentals And Applications
Published by John Wiley, 2022
Language: English
£ 156
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Add to basketHardcover. Condition: New. ISBN:9781119775614.
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£ 152.54
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Machine Learning and Data Science : Fundamentals and Applications
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Machine Learning and Data Science (Hardcover)
Published by John Wiley & Sons Inc, New York, 2022
ISBN 10: 1119775612 ISBN 13: 9781119775614
Language: English
Hardcover. Condition: new. Hardcover. MACHINE LEARNING AND DATA SCIENCE Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of machine learning and data science for industry, government, and academia. Machine learning (ML) and data science (DS) are very active topics with an extensive scope, both in terms of theory and applications. They have been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. Simultaneously, their applications provide important challenges that can often be addressed only with innovative machine learning and data science algorithms. These algorithms encompass the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. They also tackle related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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£ 122.32
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£ 180.59
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Machine Learning and Data Science: Fundamentals and Applications
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Hardcover. Condition: Brand New. 260 pages. 6.69x9.44x0.79 inches. In Stock.
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£ 171.33
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Add to basketGebunden. Condition: New. Prateek Agrawal, PhD, completed his BTech in computer science engineering from Uttar Pradesh Technical University, Lucknow, India and MTech from ABV-IIITM, Gwalior, India. He also received his PhD from IKG-Punjab Technical University, Punjab, India. He has .
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£ 190.60
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Add to basketBuch. Condition: Neu. Neuware - MACHINE LEARNING AND DATA SCIENCEWritten and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of machine learning and data science for industry, government, and academia.Machine learning (ML) and data science (DS) are very active topics with an extensive scope, both in terms of theory and applications. They have been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. Simultaneously, their applications provide important challenges that can often be addressed only with innovative machine learning and data science algorithms.These algorithms encompass the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. They also tackle related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation.
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£ 125.20
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Add to baskethardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
