10 окт. 2021 г. · Statisticians and data scientists breathe easier when we see our dataset is normally distributed, because it means we have a much larger toolbox ...

10 авг. 2022 г. · In Machine Learning, data satisfying Normal Distribution is beneficial for model building. It makes math easier. Models like LDA, Gaussian ...

3 мая 2022 г. · Im doing a Linear Regression project with a dataset from Kaggle and Im wondering if I need to have a normal distribution for every regressor ...

7 февр. 2022 г. · One of the reasons is that gaussian distribution maximizes the amount of the entropy (https://en.wikipedia.org/wiki/Normal_distribution# ...

7 февр. 2023 г. · Sometimes it's a practical thing, if you don't know the underlying distribution, Normal shows up often enough to be a good first guess.

10 авг. 2022 г. · There's a historical reason for standardization: Probabilities were calculated just for the standard normal and printed in a big table. You ...

4 июн. 2022 г. · When all features are in agreement with each other, the curve becomes more round and smooth, making it easier to optimize on. However this is ...

19 апр. 2021 г. · A gaussian process is an infinite dimensional stochastic process, a gaussian distribution is a finite dimensional probability distribution. You ...

16 нояб. 2023 г. · normal distribution is a sort of default bc of its wide applicability (and simplicity). But it's really only viable for situations with more ...

1 окт. 2022 г. · Most of modern machine learning is based on the logistic distribution. What I'm referring to is the sigmoid function. It's technical name is the logistic ...