Using Stochastic Gradient Descent for classification
Classifying documents with Naïve Bayes
Label propagation with semi-supervised learning
Introduction
Classification can be very important in a lot of contexts. For example, if we want to automate some decision-making process, we can utilize classification. In cases where we need to investigate a fraud, there are so many transactions that it is impractical for a person to check all of them. Therefore, we can automate such decisions with classification.