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By Rakesh Kumar. Author Rakesh Kumar. We then dive into the key concepts and mathematics underpinning supervised learning, including linear algebra, probability, and optimization techniques, which form the foundation of its algorithms.Subsequent chapters explore the most popular supervised learning algorithms, such as linear regression, logistic regression, decision trees, support vector machines, and neural networks.
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