regularization

In machine learning, regularization is a method by which the ML model cost/error function is changed, to include an extra variable called the regularization hyperparameter. There are two basic types of regularization: L1-norm (lasso regression) and L2-norm (ridge regression). The lasso regularization uses the L1 norm parameter. The lasso regularized cost function is calculated as ... Read more

Responsible AI

While AI technologies advance, there are various ethical, legal, security and privacy considerations which must be taken into account. These considerations are commonly referred to as "Responsible AI". Each AI software and hardware vendor classifies responsible AI and AI ethics areas differently. Some example areas which constitute Responsible AI are the following: Explainability and interpretability ... Read more

RMSE

RMSE is simply the root of the MSE statistical metric. RMSE stands for Root Mean Squared Error. The RMSE is in the same metric scale as the observed parameters, same as the MAE metric. RMSE is a calculation for the standard deviation of residuals. Compared to RMSE, MSE is a calculation of the variance of ... Read more

RPC

Microsoft Remote Procedure Call (RPC) is a protocol defined by Microsoft to allow for distributed communication processes running between clients and servers in a network. RPC offloads the networking-related process management and allows developers to focus on application logic development.