Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

Explain what multilayer perceptrons, convolutional neural networks and recurrent neural networks are and how they work. Build and train neural network models using deep learning libraries such as ...

This introductory ethics module for data science courses includes a reading, homework assignments, and case studies, all designed to spark a conversation about ethical issues that students will face ...