Machine Learning
There's a total of 4 articles.
Introduction to Machine Learning
A super brief introduction to what ML is for, the problems where it
can be applied along with some example applications.
Machine Learning Glossary
A glossary of terms used in machine learning.
For an up to date glossary also check https://developers.google.com/machine-learning/glossary
For an up to date glossary also check https://developers.google.com/machine-learning/glossary
Hyperparameter tuning
Hyperparameter tuning is a process of finding out by trial and error the
hyperparemeteres (the parameters fed into the model for it to change its inner parameters)
to converge efficiently.
Expectation maximization
machine learning
expectation maximization
k-means clustering
gaussian distribution
multivariate gaussian distribution
Expectation maximization is a method of finding maximum likelihood estimates of parameters of a model.
The method alternates between making an expectation (E) step based on the current estimate of
the parameters and a maximization (M) step which computes new parameters.