Introduction to Machine Learning AlgorithmsBasic Principles and Mathematics\nAuthor(s): Vinod Kumar Khanna\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: Chapman & Hall/CRC\nISBN-13: 9781032725918, 978-1032725918\nSynopsis\nMathematics is the foundation of machine learning algorithms. To understand the shortcomings of existing algorithms and develop more effective methods, it is essential to understand the mathematical concepts underlying these algorithms and their operational principles. This book serves as an introductory resource, outlining the preliminary concepts and offering insights into the mathematical foundations and operational mechanisms of machine learning algorithms. It describes the basic equations and interrelates the questions arising during practical applications of machine learning with the basic mathematical picture of the algorithms used.\n\nFeatures\n\n Introduces machine learning, highlights the central role of algorithms i.
Introduction to Machine Learning AlgorithmsBasic Principles and Mathematics\nAuthor(s): Vinod Kumar Khanna\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: Chapman & Hall/CRC\nISBN-13: 9781032725918, 978-1032725918\nSynopsis\nMathematics is the foundation of machine learning algorithms. To understand the shortcomings of existing algorithms and develop more effective methods, it is essential to understand the mathematical concepts underlying these algorithms and their operational principles. This book serves as an introductory resource, outlining the preliminary concepts and offering insights into the mathematical foundations and operational mechanisms of machine learning algorithms. It describes the basic equations and interrelates the questions arising during practical applications of machine learning with the basic mathematical picture of the algorithms used.\n\nFeatures\n\n Introduces machine learning, highlights the central role of algorithms i.
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