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Calculus Foundations → Applications in Machine Learning
This learning path equips university computer science students with the mathematical foundations of probability and statistics necessary for data analysis and machine learning. It covers random variables, distributions, expectation, variance, statistical inference, regression, and Bayesian methods, with calculus prerequisites integrated.
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