Focusing on conceptual clarity and practical relevance, this book provides a comprehensive guide to machine learning, from theoretical foundations to real-world applications. It demystifies machine learning through detailed explanations, examples, and case studies, making it accessible to a broad audience.
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today's rapidly evolving world, the exponential growth of data poses a significant challenge. As data volumes increase, traditional methods of analysis and decision-making become inadequate. This surge in data complexity calls for innovative solutions that efficiently extract meaningful insights. Machine learning has emerged as a powerful tool to address this challenge, offering algorithms and techniques to analyze large datasets and uncover hidden patterns, trends, and correlations. Machine Learning Techniques and Industry Applications demystifies machine learning through detailed explanations, examples, and case studies, making it accessible to a broad audience. Whether you're a student, researcher, or practitioner, this book equips you with the knowledge and skills needed to harness the power of machine learning to address diverse challenges. From e-government to healthcare, cyber-physical systems to agriculture, this book explores how machine learning can drive innovation and sustainable development. Codice articolo 9798369352724
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