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- PublisherWiley-Scrivener
- Publication date2022
- ISBN 10 1119775612
- ISBN 13 9781119775614
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages272
- EditorAgrawal Prateek, Gupta Charu, Sharma Anand, Madaan Vishu, Joshi Nisheeth
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MACHINE LEARNING AND DATA SCIENCE: FUNDAMENTALS AND APPLICATIONS
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Machine Learning and Data Science : Fundamentals and Applications
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Machine Learning and Data Science
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Machine Learning and Data Science: Fundamentals and Applications
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Machine Learning and Data Science: Fundamentals and Applications
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Machine Learning and Data Science: Fundamentals and Applications
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hardcover. 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! Seller Inventory # S_394288945
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Machine Learning and Data Science : Fundamentals and Applications
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Machine Learning and Data Science : Fundamentals and Applications
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Machine Learning and Data Science (Hardcover)
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John Wiley & Sons Inc, New York, 2022
ISBN 10: 1119775612
ISBN 13: 9781119775614
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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. Seller Inventory # 9781119775614
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Machine Learning and Data Science: Fundamentals and Applications
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Condition: New. pp. 350. Seller Inventory # 18384545946
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