Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...

Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back ...

Small-Text provides state-of-the-art Active Learning for Text Classification. Several pre-implemented Query Strategies, Initialization Strategies, and Stopping Criteria are provided, which can be ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

This repository contains a Python package that implements the k-Nearest Neighbors (k-NN) algorithm for classifying Iris flowers into three species: setosa, versicolor, and virginica. The package uses ...

Abstract: Tiny machine learning technologies are bringing intelligence ever closer to the sensor, thus enabling the key benefits of edge computing (e.g., reduced latency, improved data security, ...

Abstract: This study examines approaches across developing platforms in the current period, which is nothing more than Data Science. Informatics, software engineering, forecasting, decision making, ...

Brain-computer interfaces (BCIs) using Electroencephalography (EEG) have drawn attention to providing alternative control pathways for users with motor disabilities or even the general public in ...