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 ...

As science plays an ever increasing role in policy decisions, the Committee on Preparing the Next Generation of Policy Makers for Science-Based Decisions, an ad hoc committee under the auspices of the ...

The CTSC has developed a series of online videos with accompanying toolkits to provide best practice strategies to address common challenges that arise when working on multidisciplinary research teams ...

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 ...

i2b2 and TriNetX are de-identified clinical patient databases that include inpatient, outpatient, and claims data. The databases are useful recruitment resources for UB investigators. This UB CTSI ...