This book is a valuable resource for anyone interested in understanding the fundamental concepts and techniques underlying machine learning. Here are some key reasons to consider reading it:Solid Foundation: The book provides a comprehensive overview of the essential building blocks of machine learning, including statistical concepts, algorithms, and techniques. This makes it ideal for beginners or those looking to solidify their understanding.Practical Applications: While focusing on theoretical concepts, the book also demonstrates how these concepts can be applied to real-world problems. This helps readers connect theory with practice and understand the relevance of machine learning in various domains.Stay Updated: Machine learning is a rapidly evolving field. By reading this book, you can stay updated with the latest developments and trends. It can help you understand the underlying principles of new technique.
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Mrs.R.Kavitha is working as Assistant Professor in AIDS Department in Velammal Engineering College,India.Dr.S.Geerthik is working as Associate Professor in IT Department in Agni College of Technology,India.Dr.C.Moorthy is working as Assistant Professor in ECE Department in Dr.Mahalingam College of Engineering and technology,India.
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Taschenbuch. Zustand: Neu. THE BUILDING BLOCKS OF MACHINE LEARNING | Kavitha R (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786208172077 | 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 130341334
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is a valuable resource for anyone interested in understanding the fundamental concepts and techniques underlying machine learning. Here are some key reasons to consider reading it:Solid Foundation: The book provides a comprehensive overview of the essential building blocks of machine learning, including statistical concepts, algorithms, and techniques. This makes it ideal for beginners or those looking to solidify their understanding.Practical Applications: While focusing on theoretical concepts, the book also demonstrates how these concepts can be applied to real-world problems. This helps readers connect theory with practice and understand the relevance of machine learning in various domains.Stay Updated: Machine learning is a rapidly evolving field. By reading this book, you can stay updated with the latest developments and trends. It can help you understand the underlying principles of new technique.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch. Bestandsnummer des Verkäufers 9786208172077
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