Hardware Interfaces

Random Picks

• Stratified Sampling: Stratified Sampling is a sampling technique in which the population is divided into homogeneous subgroups called strata, and a random sample is taken from each stratum. This technique ensures that each stratum is represented in the sample, ... Read More >>
• Regularization: Regularization is a technique used in machine learning to prevent overfitting and improve the generalization of the model. It involves adding a penalty term to the loss function that the model is trying to optimize. This penalty term discou ... Read More >>
• Location-based Analysis: Location-based analysis is a data analysis technique that uses geographic information to gain insights into various phenomena. It involves collecting, analyzing, and interpreting data based on the location of the data points. This technique ... Read More >>