In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses the kernel matrix inverse (Cholesky ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.