Useful tips for everyday
How linear algebra is handled in data science? Linear Algebra is a branch of mathematics that is extremely useful in data science and machine learning.…
How does neural network backpropagation work? Backpropagation is an algorithm commonly used to train neural networks . When the neural network is initialized, weights are…
What problem can happen if you over train a neural network? A major challenge in training neural networks is how long to train them. Too…
What do you learn in Introduction to statistics? STAT 101 is an introductory course in statistics intended for students in a wide variety of areas…
Why is blocking necessary? Blocking is essential for preventing non-specific binding of antibodies or other reagents to the tissue. Consequently, non-specific binding prevents visualization of…
Does moment generating function always exist? The moment-generating function of a real-valued distribution does not always exist, unlike the characteristic function. There are relations between…
What is the difference between F-test and ANOVA? ANOVA uses the F-test to determine whether the variability between group means is larger than the variability…
What is the Z test statistic for 2 independent proportions? The Chi-square test produces a test statistic of 22.00 with a p -value of 0.00…
Is Type 1 error Alpha or Beta? A type 1 error is also known as a false positive and occurs when a researcher incorrectly rejects…
How do you know if a variable is explanatory or response? Explanatory vs response variables The difference between explanatory and response variables is simple: An…