… The invention, training, and deployment of machine learning algorithms that mimic logical
… ML machine learning is a broad subset of AI that uses machine learning to make systems …

… into a web application is extensively described with architectural diagrams. Additionally,
deep dives into … Through machine learning we can train the model with large amount of data …

… detail categorizing them into traditional machine learning based and deep learning based
… hate speech datasets is also presented that dives into the challenges posed by each of the …

… This paper delves into predictive analytics, using machine learning, focusing on utilizing
Long Short-Term Memory (LSTM) for sales prediction within the e-commerce domain. …

… during this survey, we tend to dive into the metaverse by discussing how Blockchain and
AI (AI) fuse with it through investigation of the progressive studies across the metaverse …

… Machine learning mainly focuses on the theory, performance, and properties of learning
systems [28]. Machine learning provides systems to learn and improve by themselves through …

In practice marketing can and should play an important role in mobile applications when
formulating marketing strategies. The aim of this article is to identify the main KPIs to measure …

… Discipline can be applied from an early age so that when you plunge into the world of work
you are already accustomed to the rules set on the industry and it is not too difficult to get …

… At the same time, the Internet has revolutionized the way people learn about companies and
… Recruiting is what many people want to dive into; however, that is what we call putting the …

… Variations in physician expertise may lead to inconsistent diagnoses and treatments,
underscoring the importance of well-calibrated machine learning tools to support decision-making. …