Welcome to "Foundations of Machine Learning: A Practical Guide to Concepts, Tools, and Applications", a comprehensive introduction to the exciting world of machine learning. This book is designed for beginners and enthusiasts who are curious about understanding the core principles of machine learning and its applications in the real world.Machine learning, a cornerstone of modern artificial intelligence, has revolutionized industries by enabling systems to learn from data and improve over time. From healthcare and finance to entertainment and transportation, machine learning is driving innovation across diverse fields. This book serves as your gateway to mastering foundational concepts and acquiring the skills needed to dive deeper into this transformative domain.Throughout this guide, we explore key topics such as the paradigms of machine learning, mathematical foundations, data-driven approaches, and the implementation of popular algorithms. You will also gain insights into essential tools like linear algebra, regression techniques, and advanced models such as support vector machines and ensemble methods.
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Dr. R. Manimegalai is an Assistant Professor with 14 years of experience in academia. Her research expertise lies in the fields of data mining and machine learning. She has authored fou books and contributed a book chapter published in an Elsevier proceeding. Additionally, she has actively participated in numerous international conferences.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Welcome to 'Foundations of Machine Learning: A Practical Guide to Concepts, Tools, and Applications', a comprehensive introduction to the exciting world of machine learning. This book is designed for beginners and enthusiasts who are curious about understanding the core principles of machine learning and its applications in the real world.Machine learning, a cornerstone of modern artificial intelligence, has revolutionized industries by enabling systems to learn from data and improve over time. From healthcare and finance to entertainment and transportation, machine learning is driving innovation across diverse fields. This book serves as your gateway to mastering foundational concepts and acquiring the skills needed to dive deeper into this transformative domain.Throughout this guide, we explore key topics such as the paradigms of machine learning, mathematical foundations, data-driven approaches, and the implementation of popular algorithms. You will also gain insights into essential tools like linear algebra, regression techniques, and advanced models such as support vector machines and ensemble methods. 148 pp. Englisch. Bestandsnummer des Verkäufers 9786209933615
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Taschenbuch. Zustand: Neu. Foundations of Machine Learning | A Practical Guide to Concepts, Tools, and Applications | Manimegalai R (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209933615 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 135588704
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Welcome to 'Foundations of Machine Learning: A Practical Guide to Concepts, Tools, and Applications', a comprehensive introduction to the exciting world of machine learning. This book is designed for beginners and enthusiasts who are curious about understanding the core principles of machine learning and its applications in the real world.Machine learning, a cornerstone of modern artificial intelligence, has revolutionized industries by enabling systems to learn from data and improve over time. From healthcare and finance to entertainment and transportation, machine learning is driving innovation across diverse fields. This book serves as your gateway to mastering foundational concepts and acquiring the skills needed to dive deeper into this transformative domain.Throughout this guide, we explore key topics such as the paradigms of machine learning, mathematical foundations, data-driven approaches, and the implementation of popular algorithms. You will also gain insights into essential tools like linear algebra, regression techniques, and advanced models such as support vector machines and ensemble methods. 148 pp. Englisch. Bestandsnummer des Verkäufers 9786209933615
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