Logistic regression is a supervised learning algorithm used to classify input data into a categories. If we have two possible categories, then we are using binary or binomial Read More
Linear regression is one of the simplest supervised learning technique. It is a method for modelling the relationship between one or more input variables X and one output Read More
An interesting usage of the classification algorithms is object detection in live images. In this tutorial we will demonstrate how to detect a simple object using the open Read More
In machine learning, clustering is the name of a category of unsupervised learning algorithms. The main problem which is solved by these algorithms is to find structure in Read More
The current article facilitates the understanding of TFIDF (term frequency inverse document frequency) in the machine learning/natural language processing context. We will explain what the term is, then we Read More
The article is an introduction to the Apache OpenNLP library. We will start with a short description of the library, we will describe a simple problem which this library Read More
This article gives you a first idea about what Apache Mahout library can do and how can it be used in real life projects. You can see it Read More
In this tutorial we will explain how to configure an Apache HTTP server in front of the Apache Tomcat server. Why would one need such a configuration: Clustering. By Read More