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 ...

NVIDIA releases detailed cuTile Python tutorial for Blackwell GPUs, demonstrating matrix multiplication achieving over 90% of cuBLAS performance with simplified code. NVIDIA has published a ...

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, explains how it builds on Adam with Nesterov momentum, and shows you how to ...

An expert in computational linguistics, Dan Loehr gave a talk at Bowdoin on how AI is and can be used to address climate change by mitigating emissions from carbon-intensive sectors, modeling climate ...

Skillshare offers several Python tutorials aimed at beginners, but very few are as comprehensive as "Programming in Python for Beginners". The Instructor has designed the course with the assumption ...

Python is one of the most popular programming languages in the world today, with millions of developers using it for web development, data science, machine learning, automation, and more. If you’ve ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...