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

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 ...

We examine aggregate productivity differences across nations using cross-country firm-level data and a quantitative model of production heterogeneity with distortions featuring operation decisions ...

With countless applications and a combination of approachability and power, Python is one of the most popular programming languages for beginners and experts alike. We’ve compiled a list of 10 online ...

Folder structure: | |- micropython # Clone the MicroPython repo here | |- ports | |- rp2 | |- build # Create this build folder | |- modules # Place all py files from ...

Every few years the television industry finds a new type of display technology to tout as the latest and greatest. And with the exception of plasma TVs, nearly every one of them is named like somebody ...