Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Shrinking governing boards, diversifying beyond alumni and business executives, and mandating free speech vetting in leadership hires could reverse the chill on free speech and equip trustees to ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Introduction Mothers’ experiences at birth and respectful maternal care are critical to achieving Sustainable Development Goal number 3 in Tanzania. However, little is known about the differences in ...

Evan Williams is an automotive journalist and mechanical engineering technologist with more than a decade of experience in the industry. He has written for the Toronto Star and AutoTrader Canada and ...

At the turn of the 20th century, following the popularization of the first cars ever invented by visionaries like Karl Benz, prototypical automobiles were gradually rolling out on the streets of the ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

Honda is hinting at even more hardcore models under the Honda Racing Corporation (HRC) brand. Honda’s track-ready lineup—led by the Civic Type R, Civic Si, and their Acura Integra counterparts—has a ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

Even though the build & price tool still hasn't been updated with the 2025 Honda Civic Type R, dealers nationwide list a starting price of $46,690 before destination charge for the 2025 model. That’s ...

The majority of research predicted heating demand using linear regression models, but they did not give current building features enough context. Model problems such as Multicollinearity need to be ...