This workshop will demonstrate how to perform image segmentation using the FastAI Python library, which is built on the deep learning library PyTorch. Some familiarity with Python is expected, but no previous experience […]
APPROACHES FOR STUDYING MULTISCALE COMPUTATIONAL MODELS
BlueJeans link will be shared with registered attendees 24 hours before start Modern 3D game engines and computer hardware can render convincing graphics, rivaling that of pre-rendered 3D animation. But […]
The focus of the workshop is twofold: to learn cartography principles for generating single and multivariable choropleth maps, and explore functionalities of R for generating static and interactive web maps. […]
STEADY COHERENT STATES IN RAYLEIGH–B'{E}NARD CONVECTION
OVERVIEW Machine learning is becoming an increasingly popular tool in several fields, including data science, medicine, engineering, and business. This workshop will cover basic concepts related to machine learning, including […]
LARGE-SCALE INFERENCE OF TIME-VARYING MARKOV RANDOM FIELDS: BRIDGING THE GAP BETWEEN STATISTICAL AND COMPUTATIONAL EFFICIENCIES
Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level, Python interface running on top of multiple neural network libraries, including the popular library TensorFlow. In this workshop, participants will learn […]
There are a variety of formats available for R markdown beyond 'standard html', one of which is Distill. Distill is specifically oriented toward presentation of results, and offers a clean […]
This lecture-style workshop will introduce relevant concepts and techniques for modelling cross-sectional data observed on regular (such as remote sensing pixels) or irregular (such as Census polygons) lattice. Such data […]