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

Python.Org is the official source for documentation and beginner guides. Codecademy and Coursera offer interactive courses for learning Python basics. Think Python provides a free e-book for a ...

#OctopusEffects, #Blender tutorial to model a cute puppy with Modifier in Blender 3.3 Timestamp 00:00​ Introduction 00:10 Body 00:46 Nose 02:09 Tongue 03:36 Ears 05:32 Cheeks 06:13 Eyes 07:01 Setup 07 ...

#OctopusEffects, #aftereffects After Effects tutorial on how to make a transition in the form of random rectangles. Short and voiceless instructions Timestamp 00:00​ Introduction 00:18 Create image tr ...

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 ...

An Introduction to Python for Computational Science and Engineering, developed by Hans Fangohr since 2003.(2003-2024). The content and methods taught are intended for a target audience of scientists ...

An Introduction to Programming and Computer Science with Python, second edition is a free, open source textbook available under a CC BY-NC-SA license. Originally developed for UVM’s CS 1210 ...

This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...