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OverviewMachine Learning is a groundbreaking field of artificial intelligence that enables systems to learn and make data-driven decisions with minimal human intervention. By leveraging statistical models, algorithms, and computational techniques, it uncovers patterns in data to address complex problems across diverse domains, including healthcare, finance, robotics, and natural language processing. This book offers a comprehensive exploration of core concepts, supervised and unsupervised learning, statistical approaches, and cutting-edge applications, making it an invaluable resource for students, researchers, and professionals alike. Full Product DetailsAuthor: Srilali Siragam , G N Visweswara Rao , V SatyakishorePublisher: LAP Lambert Academic Publishing Imprint: LAP Lambert Academic Publishing Dimensions: Width: 15.20cm , Height: 1.00cm , Length: 22.90cm Weight: 0.268kg ISBN: 9783330055353ISBN 10: 3330055359 Pages: 176 Publication Date: 27 November 2024 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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