This course is an introduction to bioimage processing with Python and Jupyter. It is composed of a series of Jupyter notebooks that can be simply read or run interactively using either the binder ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Legal AI platform, August, is launching a self-serve capability for all customers. The move should accelerate sign-ups and onboarding for the fast-growing startup. Meanwhile, they’ve also rolled out ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...