This course will cover the theory and practical application of machine learning algorithms. Students in this course will study supervised and unsupervised learning algorithms. Students will apply machine learning algorithms to datasets to uncover patterns using R and Python. Topics covered include random forest, support vector machines, deep neural networks, interpretable machine learning.