Archives for Gaussian Distribution
ICA finds independent components rather than uncorrelated component.
The post Independent Component Analysis vs Principal Component Analysis appeared first on Analytics India Magazine.
The expectation-maximization (EM) algorithm is an elegant algorithm that maximizes the likelihood function for problems with latent or hidden variables.
In the field of unsupervised learning, probabilistic models which represent the probability of the presence of clusters within the overall population can be considered as mixture model.
Probability distributions are important in machine learning and data analysis. Not only data scientists but also also researchers and scientists from many other fields deal with probability distributions on a day to day basis. To put it simply, probability distribution is a simply a function which informs us of the likelihood of obtaining the possible […]
The post The Never Ending Fascination Of The Gaussian Distribution appeared first on Analytics India Magazine.