Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...

Abstract: Existing e-commerce systems have the problems of large data volume and many users, which cannot effectively identify high potential users. To address this challenge, this paper proposes an e ...

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...

A lightweight Python calculator that performs basic arithmetic operations (addition, subtraction, multiplication, division) with a user-friendly command-line interface. Ideal for beginners learning ...

Researchers at the University of California San Diego have developed a simple yet powerful method to characterize lithium metal battery performance with the help of a widely used imaging tool: ...

1 Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, Yunnan, China 2 China Construction Eighth Bureau Engineering Research Institute, China Construction ...

Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

1 Department of Pharmacy Practice & Science, The University of Arizona R. Ken Coit College of Pharmacy, Tucson, AZ, United States 2 The University of Arizona College of Nursing, Tucson, AZ, United ...

A simple algorithm to aid in the selection of appropriate disease modifying therapies (DMTs) reduces racial disparities in patients with relapsing multiple sclerosis (MS), early new research showed.