Useful tips for everyday
What is an advantage of using a quasi experiment? The greatest advantages of quasi-experimental studies are that they are less expensive and require fewer resources…
Why is LSTM hard to train? About training RNN/LSTM: RNN and LSTM are difficult to train because they require memory-bandwidth-bound computation, which is the worst…
What is the difference between an ANOVA and at test? The Student’s t test is used to compare the means between two groups, whereas ANOVA…
What makes a hypothesis test one-tailed? A one-tailed test is a statistical test in which the critical area of a distribution is one-sided so that…
Why is PDF not probability? Because f(x) can be greater than 1. (“PD” in PDF stands for “Probability Density,” not Probability.) f(𝒙) is just a…
Which of the following is the measure of document similarity? The most common way is to measure the similarity between two text documents is distance…
How to construct 95% confidence interval in statistics? In my elementary statistics course, I learnt how to construct 95% confidence interval such as population mean,…
Which algorithm required feature scaling on normalization? Any machine learning algorithm that computes the distance between the data points needs Feature Scaling (Standardization and Normalization).…
How do you find the number of successes and failures? The formula for calculating success: P(success) = x ⁄ N Where; x = Number of…
Does random forest use gradient descent? To do gradient descent, you need continuous parameters, and the loss function has to be differentiable with respect to…