Decision trees are a classic supervised learning algorithms, easy to understand and easy to use. In this article we will describe the basic mechanism behind decision trees and Read More
This article aims to be an introduction to the Apache Spark data processing engine, with focus on the machine learning algorithms. We will start with a few words Read More
Trying to predict the future value of a company stock or other financial instrument traded on an exchange is called stock market prediction. If we generalize the problem, Read More
We will talk again about sentiment analysis, this time we will solve the problem using a different approach. Instead of naive Bayes, we will use Apache OpenNLP and Read More
Sentiment analysis or opinion mining is the identification of subjective information from text. This tutorial will show how to do sentiment analysis on Twitter feeds using the naive Read More
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
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
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