Foundations of Machine Learning is a comprehensive textbook that provides a solid mathematical foundation for key concepts in machine learning. It covers fundamental topics such as supervised and unsupervised learning, classification, regression, and clustering, along with advanced methods like kernel machines, boosting, and support vector machines. The book emphasizes algorithms and theoretical concepts, offering rigorous analysis while maintaining clarity. It includes numerous examples, exercises, and discussions on practical applications, making it suitable for students and researchers looking to understand both the theoretical underpinnings and real-world implications of machine learning.
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Publication Year
2024
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Author Info
Dr. B. Srikanth, working as a Professor in CSE Department, Kallam Haranadhareddy Institute of Technology, Guntur. He is having more than 16+ years of teaching experience in various engineering colleges. His research areas included Digital Image processing, Data Science, and Machine Learning. He is awarded with Ph.D from Acharya Nagarjuna University, Guntur in 2019. He published 25 papers in various SCI & Scopus indexed journals. He participated in various Workshops and Conferences. He is recognized as Research Supervisor in JNTUK Kakinada. He is having a professional membership in IEEE, ISTE, IAENG, SDIWC, and ISSE.