Applications of SVM in Real World 

SVMs depends on supervised learning algorithms. The aim of using SVM is to correctly classify unseen data. SVMs have a number of applications in several fields.

Some common applications of SVM are-

• Face detection – SVMc classify parts of the image as a face and non-face and create a square boundary around the face.

• Text and hypertext…

Artificial Neural Networks – Introduction

Artificial Neural networks (ANN) or neural networks are computational algorithms.

It intended to simulate the behavior of biological systems composed of “neurons”. ANNs are computational models inspired by an animal’s central nervous systems. It is capable of machine learning as well as pattern recognition. These…

Machine Learning Applications

Some of the machine learning applications are:

1. Image Recognition

One of the most common uses of machine learning is image…

Hadoop – Introduction & features

Let us start with what is Hadoop and what are Hadoop features that make it so popular.

Hadoop is an open-source software framework for distributed storage and distributed processing of extremely large data sets. Important features of Hadoop are:

Hadoop is an open source project. It means its code can be modified to business requirements.

In Hadoop, data is highly available and…