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Mathematics for Machine Learning" is a comprehensive guide designed to teach the mathematical foundations essential for understanding and implementing machine learning algorithms. Covering linear algebra, calculus, probability, and optimization, this book bridges theory with practical application. Ideal for students and professionals, it simplifies complex concepts, making it accessible while ensuring a solid understanding of the math behind AI and data science