Useful tips for everyday
Does total sum of squares change? SSW is one component of total sum of squares (the other is between sum of squares). Within sum of…
What is alpha error probability in G power? The alpha level, or the Type I error rate, which is the probability of rejecting the null…
What is the problem with Likert scale? The problem with a Likert scale is that the scale [of very satisfied, quite satisfied, neutral, quite dissatisfied,…
When do you use non-independent multiple comparisons? Another experimental design with multiple, non-independent comparisons is when you compare multiple variables between groups, and the variables…
Which layer of the skip-gram model has the actual word embedding representation? hidden layer 1. The skip-gram model. Both the input vector x and the…
What is tau in machine learning? Conditional Kendall’s tau is a conditional dependence parameter that is a characteristic of a given pair of random variables.…
Why do we need graphs in neural networks? Graph Neural Networks (GNNs) are a class of deep learning methods designed to perform inference on data…
What is the difference between novelty detection models and standard outlier detection models? In “novelty detection”, you have a data set that contains only good…
What are some good logical paradoxes? 10 Paradoxes That Will Boggle Your Mind ACHILLES AND THE TORTOISE. THE BOOTSTRAP PARADOX. THE BOY OR GIRL PARADOX.…
What is the discriminant function in LDA? Linear discriminant analysis (LDA), normal discriminant analysis (NDA), or discriminant function analysis is a generalization of Fisher’s linear…