Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...

MIT’s Recursive Language Models rethink AI memory by treating documents like searchable environments, enabling models to ...

Learn how to build a perceptron from scratch in Python! This tutorial covers the theory, coding, and practical examples, helping you understand the foundations of neural networks and machine learning.

TL;DR: A wide range of online courses from MIT are available to take for free on edX.

Jupyter notebooks covering a wide range of functions and operations on the topics of NumPy, Pandans, Seaborn, Matplotlib etc. Decision trees and Random Forest Classification (Here is the Notebook) ...

This repo contains the lectures, slides, reading assignments, and problem sets for the MIT 6.000.1 'Intoduction to Computer Science and Programming in Python' Open Courseware offered at the ...

The AI divide is growing for SMBs — Here’s how they can still win As AI reshapes enterprise strategy, many small and mid-sized businesses risk falling behind. In this episode of Today in Tech, host ...

How far can a mid sized language model go if the real innovation moves from the backbone into the agent scaffold and tool stack?