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Machine 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.…mehr

Produktbeschreibung
Machine 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.
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Autorenporträt
Dr. Srilali Siragam is an Associate Professor at Swarnandhra College of Engineering, specializing in ceramic nanocomposites. He has published extensively in leading journals and has contributed to books and conference proceedings.