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This book is a comprehensive guide to machine learning, covering the theoretical and practical aspects. It provides a thorough overview of the subject, detailed explanations and examples of various methods and models. It is intended for students, researchers and practitioners who want to learn the fundamentals and applications of machine learning. Salient features: Ideal for all B.E., B.Tech. and B.Sc. (Computer Science) students; Includes coding exercises, projects and case studies, and hands-on activities to enable experiential learning.
This book is a comprehensive guide to machine learning, covering the theoretical and practical aspects. It provides a thorough overview of the subject, detailed explanations and examples of various methods and models. It is intended for students, researchers and practitioners who want to learn the fundamentals and applications of machine learning. Salient features: Ideal for all B.E., B.Tech. and B.Sc. (Computer Science) students; Includes coding exercises, projects and case studies, and hands-on activities to enable experiential learning.