Useful tips for everyday
How is cross entropy loss used in classification? The lower the loss the better the model. Cross-Entropy loss is a most important cost function. It…
What are the drawbacks of anomaly detection? The main disadvantage of anomaly detection is that it can be intimidating or seem complex. It’s a branch…
What is the best way to merge two different neural networks? There are three ways I can think of, depending on your requirement. Have the…
What is redundant sampling? Sampling a population to redundancy is predicated on determining the “adequate” number of samples required to properly characterize that population, where…
Can you do a linear regression with non normal data? Yes, you should check normality of errors AFTER modeling. In linear regression, errors are assumed…
What are the endogenous variables in the labor market model? Substituting the equilibrium condition (3) into equations (1) and (2) gives us a three equation…
Does linear regression require stationary data? 1 Answer. What you assume in a linear regression model is that the error term is a white noise…
Can you calculate confidence interval for non-normal distribution? Confidence intervals are typically constructed as-suming normality although non-normally distributed data are a common occurrence in practice.…
Is machine learning a data driven method? Machine learning is based upon optimization techniques for data. Specifically, it learns from and makes predictions based on…
How do you fix Collinearity problems? How to Deal with Multicollinearity Remove some of the highly correlated independent variables. Linearly combine the independent variables, such…