## Naive Bayes Classification

In this article we will go one step further and discuss regarding Naïve Bayes Classification. This is the second article in our machine learning for beginners’ series. In the last article, we discussed regarding the general idea of Machine Learning. Naïve Bayes Classification Algorithm is a supervised machine learning technique that is used to solve classification problems. Bayes Theorem (posterior probability) forms the core part of the Naïve Bayes algorithm. […]

## What is machine learning?

This is the introductory post in the series of articles on machine learning techniques that I am going the share in coming days. My objective is to help you understand the domain of machine learning and the different tools that are available for us to solve real life problems. Lets enter into the worlds of Machine learning!! If you are already familiar with some basics of machine learning then you […]

## Machine Learning

Machine Learning can be thought of as a set of algorithms that uses advanced statistical techniques for classification, prediction, and segmentation. Let us look at two of the commonly used Machine Learning techniques: Support Vector Machines (SVM), and Naive Bayes. Support Vector Machines (SVM) Support Vector Machines can be used for both prediction and classification problems. This method constructs decision boundaries (linear/non-linear). Support Vector Machines are very flexible in handling […]

## The Importance of Customer Analytics

Customer Analytics is a set of processes that gives important insights about the customers that are required to serve customers in a way that is relevant, anticipated and timely. Customer Analytics is the backbone of all marketing activities and it encompasses many different statistical techniques such as predictive modeling, data visualization, information management and segmentation. The increase in the social footprint of the customers makes the domain of customer analytics […]

## Cluster Analysis

Cluster Analysis: Importance One of the questions that many researchers and analysts face is how to generate meaningful insights or structures from observed data, or how to develop taxonomies. Here comes the role of cluster analysis. Cluster analysis can be thought of a set of algorithms and techniques that are used to group objects of similar nature together. In other words, we can think of cluster analysis as an exploratory […]