Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...

Abstract: Insomnia is a common sleep disorder characterized by difficulty falling asleep or staying asleep, even when the sleep environment is conducive to rest. It can negatively affect both physical ...

Retail Recommendation System uses deep neural networks to deliver personalized product recommendations based on customer behavior and product data, helping retailers boost engagement, optimize ...

A collection of core Machine Learning algorithms implemented from scratch using only NumPy. This project focuses on understanding the inner workings of ML models without relying on libraries like ...

The CHLA-developed app will collect data for future research in machine learning to detect sleep disorders and help advance the standards of pediatric care in pain and sleep medicine Children’s ...

In recent decades, the impact of climate change on natural resources has increased. However, the main challenges associated with the collection of meteorological data include the presence of missing, ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box! Ursula von der Leyen’s plane ...

ABSTRACT: Introduction: Micropolycystic ovary syndrome (MPCOS) is one of the main causes of female infertility worldwide. The aim of the study is to determine the predictive value of AMH and other ...