Discrete data is qualitative data. Continuous data is quantitative data. Simply put, discrete values are finite, and ...

Discrete data is categorical data, rather than continuous measurements. It can be treated as continuous data, but that ...

In the world of data analysis and statistics, continuous and discrete data play fundamental roles. These two types of quantitative data serve different purposes as people use them to draw valuable ...

However, training these models presents a unique challenge: language models deal with discrete values (words and tokens), while image generation models must handle continuous pixel values.

Dr. James McCaffrey of Microsoft Research demonstrates applying the L-BFGS optimization algorithm to the ML logistic regression technique for binary classification -- predicting one of two possible ...