Since the popularisation of the Internet in the 1990s, the cyberspace has kept evolving. We
have created various computer-mediated virtual environments, including social networks …

Technologies have driven big data collection across many fields, such as genomics and
business intelligence. This results in a significant increase in variables and data points …

Regression analysis makes up a large part of supervised machine learning, and consists of
the prediction of a continuous independent target from a set of other predictor variables. The …

Federated learning is an emerging distributed machine learning framework for privacy
preservation. However, models trained in federated learning usually have worse …

Perhaps one of the most common and comprehensive statistical and machine learning
algorithms are linear regression. Linear regression is used to find a linear relationship …

Artificial intelligence, especially machine learning (ML) and deep learning (DL) algorithms,
is becoming an important tool in the fields of materials and mechanical engineering …

Purpose This research aims to investigate the effects of e-service quality on customer
satisfaction and customer loyalty. The moderating effects of web design and trust in the …

Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models
for linguistics. The book covers simple uses of linear models through generalized models to …

Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …

Federated learning is a method of training models on private data distributed over multiple
devices. To keep device data private, the global model is trained by only communicating …