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This comprehensive guide is a treasure trove of knowledge, offering a unique and accessible exploration of the Statistical Learning Theory through practical examples, intuitive algorithms, and ready-to-use source codes in R. Perfect for students, educators, and self-learners alike, this book is a must-have resource for anyone seeking a deeper understanding of the core concepts of Machine Learning. It serves as an ideal textbook for both graduate and undergraduate courses, providing a well-structured and engaging learning experience.