Description
“Foundations of Machine Learning” is a thorough textbook that establishes a strong mathematical base for essential machine learning concepts. It addresses core topics like supervised and unsupervised learning, classification, regression, and clustering, advancing to complex methods such as kernel machines and boosting. With a focus on algorithms and theory, it provides clear analysis, numerous examples, exercises, and discussions on practical applications, making it ideal for students and researchers alike in their pursuit of understanding machine learning.
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