What is overfitting and underfitting in machine learning? What is Bias and Variance? Overfitting and Underfitting are two common problems in machine learning and Deep learning. If a model has low ...

Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a ...

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

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

Riti Samanta, Global Co-Head Fixed Income, Systematic Fixed Income Portfolio Manager, at Russell Investments, brings nearly 25 years of experience blending quantitative rigor with portfolio management ...

A U.S. Postal Service employee died after he became stuck inside a mail handling machine at a distribution center in Allen Park, Michigan, according to officials. Nicholas John Acker, 36, was stuck in ...

India is OpenAI’s second-largest market, but ChatGPT and Sora reproduce caste stereotypes that harm millions of people. When Dhiraj Singha began applying for postdoctoral sociology fellowships in ...

Black and brown students make up over half of U.S. K-12 students, yet many AI-driven ed-tech tools are not designed with their needs in mind, according to a yearslong project launched in 2020 by the ...

Department of Chemistry, University of Warwick, Coventry CV4 7AL, U.K. Department of Chemistry, University of Warwick, Coventry CV4 7AL, U.K. Centre for Doctoral Training in Modelling of Heterogeneous ...

We publish deeply researched (and often vastly underread) academic papers about our collective omnipresent media bias. byTech Media Bias [Research Publication]@mediabias byTech Media Bias [Research ...