Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

MIT researchers have developed a new theoretical framework for studying the mechanisms of treatment interactions. Their ...

Survival models using electronic health record data show promise in predicting progression to proliferative diabetic ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Variation in PICU mortality by ethnicity and area-level deprivation highlights the importance of further investigation into ...

Merit is making its Scholars program widely available. It's a team of experts to fine-tune generative AI models for ...

While traditional support vector regression algorithm is based on a single kernel, in practice it is often desirable to use multiple kernels. Learning linear combinations of multiple kernels is an ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

The performance of UHPC-CA was predicted in this paper based on five prediction models: multiple linear regression, multiple nonlinear regression, traditional neural network (T-BP), principal ...

This study compares the performance of Pytorch-based Deep Learning, Multiple Perceptron Neural Networks with Multiple Linear Regression in terms of software effort estimations based on function point ...