Explores the ethical implications of AI on justice and fairness in society, emphasizing the importance of considering social aspects in decision-making.
Covers a review of machine learning concepts, including supervised learning, classification vs regression, linear models, kernel functions, support vector machines, dimensionality reduction, deep generative models, and cross-validation.
