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TACO (Topics in Algorithmic COde generation dataset) is a dataset focused on algorithmic code generation, designed to provide a more challenging training dataset and evaluation benchmark for the code ...

This repository contains comprehensive implementations of algorithms from the classic textbook "Fundamentals of Computer Algorithms" (Second Edition) by Ellis Horowitz, Sartaj Sahni, and Sanguthevar ...

There’s a certain angst that many humans feel, in envisioning an artificial intelligence system plugging along, humming with algorithmic fire, and creating other digital systems, essentially setting ...

Sri Ramachandra Faculty of Engineering and Technology, Sri Ramachandra Institute of Higher Education and Research, Chennai 600116, India ...

Abstract: The adoption of Artificial Intelligence (AI) and Machine Learning (ML) is transforming businesses across industries, yet small enterprises face significant challenges in implementing these ...

Abstract: Software maintenance and evolution are critical processes that ensure software systems remain functional, efficient, and adaptable over time. This article explores the four primary types of ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

The stock market faces persistent challenges, including inefficiencies, volatility, and barriers to entry, which hinder its accessibility and reliability for investors. This paper explores how ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

Artificial intelligence (AI) is revolutionising the research landscape, presenting unprecedented opportunities to accelerate discovery, improve collaboration, and address critical challenges in fields ...