Learn how to create a Python simulation of a tipping stick! In this video, we guide you step by step through coding a physics-based simulation that models tipping motion, friction, and torque. Perfect ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

Vibe coding isn’t just prompting. Learn how to manage context windows, troubleshoot smarter, and build an AI Overview ...

Learn how to improve coding assignments with clear documentation, better structure, and professional formatting for higher grades and clarity.

Understand how this artificial intelligence is revolutionizing the concept of what an autonomous agent can do (and what risks ...

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

Includes a demonstration of concepts with Gesture Recognition. This was created as part of an educational for the Western Founders Network computer vision and machine learning educational session. For ...

I like Anime, Chess, Deep Learning, Mathematics and Programming. NumPy is a Python library that is mainly used to work with arrays. An array is a collection of items that are stored next to each other ...

This repository contains the Jupyter Notebooks behind my O'Reilly report, A Whirlwind Tour of Python (free 100-page pdf). A Whirlwind Tour of Python is a fast-paced introduction to essential ...

Abstract: Input uncertainty in the simulation output is caused by the estimation error in the input models of the simulator due to finiteness of the data from which ...

The right mouse is the most critical weapon in your PC-gaming arsenal. Shape, weight, shortcuts, customization software: Our expert buying guide has it all covered, plus picks to help you smoke the ...