Top new questions this week:
|
|
I got this question from an interview. A and B are playing a game of dice as follows. A throws two dice and B throws a single die. A wins if the maximum of the two numbers is greater than the throw of …
|
|
I am wondering if there are algorithms to cluster graphs; what I meant is to cluster many graphs, not cluster the nodes in a graph. For example, we have N graphs, G1, G2, G3, …..GN. Then we can …
|
|
I was testing out some classifier algorithms in scikit but wasn’t able to find a classifier (linear or non-linear) that managed to provide good prediction on whether an input number is odd or even. …
|
|
Given data for two groups: Group A: $\left\{ (n_1, s_1), (n_2, s_2), \ldots, (n_k, s_k) \right\}$. Group B: $\left\{ (n_1, s_1), (n_2, s_2), \ldots, (n_l, s_l) \right\}$. Where $n_i$ is the number …
|
|
A few days ago someone asked a question about dice in an interview. Naturally, one can consider the following more general problem. Suppose there are $n$ dice, with numbers from $1$ to $n$, on them. …
|
|
I am on page 87 of ISLR 2nd edition. What are the indications that one should be using interaction variables in their linear regression model? Basically: When do you know “ah, I should be using …
|
|
Reading the introduction of English Wikipedia’s article about the t-test, I was confused by this statement: It is most commonly applied when the test statistic would follow a normal distribution To …
|
Greatest hits from previous weeks:
|
|
Recently I have been reading about deep learning and I am confused about the terms (or say technologies). What is the difference between Convolutional neural networks (CNN), Restricted Boltzmann …
|
|
What’s the similarities and differences between these 3 methods: Bagging, Boosting, Stacking? Which is the best one? And why? Can you give me an example for each?
|
|
What are common cost functions used in evaluating the performance of neural networks? Details (feel free to skip the rest of this question, my intent here is simply to provide clarification on …
|
|
What is the difference between the three terms below? percentile quantile quartile
|
|
Principal component analysis (PCA) is usually explained via an eigen-decomposition of the covariance matrix. However, it can also be performed via singular value decomposition (SVD) of the data matrix …
|
|
Principal component analysis (PCA) can be used for dimensionality reduction. After such dimensionality reduction is performed, how can one approximately reconstruct the original variables/features …
|
|
Searched high and low and have not been able to find out what AUC, as in related to prediction, stands for or means.
|
Can you answer these questions?
|
|
I am conducting a multiple meta-regression of proportions and was hoping that I could get some help. Outcome variable is complications rates (logit transformed) and moderators are publication year and …
|
|
An answer here stated the following: Here is another place where typical regression teaching sources are slippery. In some cases, they refer to the estimates $\hat \beta_0$ and $\hat \beta_1$ as …
|
|
I have data from two sample surveys done on Maternal Mortality. At each survey, the number of live births and the number of maternal deaths have been recorded. I have calculated the Maternal Mortality …
|
