Introduction to Data Science for Mechanical Engineers

Topics: Python basics; basics of supervised (Bayesian generalized linear regression, logistic regression, deep neural networks, convolutional neural networks), and unsupervised learning (k-means clustering, principal component analysis, Gaussian mixtures).