This repository contains a simple implementation of the Perceptron algorithm from scratch using only NumPy. The project is intended for ... A synthetic dataset is generated for binary classification, ...

Master data science in 2025. Complete guide to machine learning, big data analytics, Python programming, statistical modeling ...

This project implements a Multi-Layer Perceptron (MLP) from scratch using Python and NumPy for classification tasks. It includes data loading, preprocessing, model definition, training, and evaluation ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

At ARVO 2025, in Salt Lake City, Utah, Patipol Tiyajamorn, talked about his poster on using graph neural networks to identify ...

As part of the pilot, it will be trained using eight routinely collected datasets ... the next pandemic – but we’re also testing the model’s ability to generalise to other important ...

Google is implementing a new Chrome security feature that uses the built-in 'Gemini Nano' large-language model (LLM ... locally on the user's device using Gemini Nano. When there's a positive ...