There's a total of 4 articles.
Introduction to Machine Learning → Read more...
A super brief introduction to what ML is for, the problems where it can be applied along with some example applications.
Machine Learning Glossary → Read more...
A glossary of terms used in machine learning.
For an up to date glossary also check https://developers.google.com/machine-learning/glossary
Hyperparameter tuning → Read more...
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 → Read more...
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.