Every file in this project is code I wrote and submitted while completing the NeetCode ML course. The problems progressively build from gradient descent fundamentals all the way to a working GPT.

Open Source of the Week - The exo project New learning resources - Getting started with Hermes AI agent, building a Slack Python bot, introduction to Pi agent, Gemma 4 coder app Book of the week - ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning. Trump offered to unfreeze funding for NYC tunnel if Dulles Airport, train station ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

To some, AI heralds the next generation of learning computers. To others, it's vaporware—just endless hype. To a lucky few, it's a forgettable Spielberg movie. So what is artificial intelligence, ...

Language models are a cornerstone of natural language processing, helping us understand and generate human language. In this introductory guide, we'll walk through the creation of a bigram language ...

Scalable addressing of high-dimensional constrained combinatorial optimization problems is a challenge that arises in several science and engineering disciplines. Recent work introduced novel ...