Mathematics of Machine Learning

Catalog description

Fundamental concepts of parametric and non-parametric probability distributions and dimensionality reduction. Data classification and clustering, regression, kernel methods, artificial neural networks, and Markov-based models. Practical examples drawn from practical data science problems