Binary classification is a type of image classification where you essentially train a model on two different labelled objects. Then, when you deploy the model, the ESP32 can calculate a percentage ...

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 ...

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 ...