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Related lectures (24)
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Calculus: Derivatives and Integrals
Covers the fundamentals of calculus, focusing on derivatives and integrals.
Naive Bayes Classifier
Introduces the Naive Bayes classifier, covering independence assumptions, conditional probabilities, and applications in document classification and medical diagnosis.
Introduction to Machine Learning
Introduces fundamental machine learning concepts and algorithms for model training and evaluation.
Privacy: Threat Modeling and Differential Privacy
Explores the significance of privacy, risks of targeted advertising, and the concept of differential privacy.