Research data has grown to unprecedented sizes making local storage, efficient data analysis and long-term archiving a significant challenge. In this session we will introduce the stages of the research data lifecycle. We will discuss how data management plays a role at key stages of the data lifecycle. Finally, we will review tools and resources...
Workshop will be conducted in Zoom in PST time. Please Register here in advance for this lecture. This workshope will the introduction to Generative Adversarial Networks (GANs). We will illustrate the fundamental GAN techniques on how to use DCGANs to generate do images using PyTorch. The knowledge of topics covered in the previous sessions is...
Registration: https://ucla.zoom.us/meeting/register/tJIpf--rrj4vE9DWH23IkyLvjjrk-md-hwYe This workshop covers Stata commands and methods for common data management tasks, such as identifying data errors, identifying duplicated data, specifying missing values, working with string variables, labeling variables, creating new variables, merging datasets, processing data by groups, and using loops for repetitive tasks. The workshop is focused on preparing data for statistical...