Evidence-based Practice

Random Picks

• Learning Rate: In machine learning, the learning rate is a hyperparameter that determines the step size at each iteration while moving toward a minimum of a loss function during training of a model. It controls how much to change the model in response to ... Read More >>
• Forecasting: Forecasting is the process of making predictions about future events based on historical data and analysis of trends. In data science, forecasting is a common technique used to predict future values of a variable based on its past behavior. ... Read More >>
• Data Parallelism: Data Parallelism is a technique used in distributed computing and parallel computing to divide a large dataset into smaller subsets and process them simultaneously on multiple processors or nodes. In this technique, each processor or node r ... Read More >>