## Introduction to topic modeling using LDA (Latent Dirichlet Allocation)

Introduction In natural language processing, particularly text mining, topic modeling is a very important technique used commonly for identifying topics from a text source to enable informed decision making. Topic modeling is an unsupervised statistical modeling technique used for finding out a group of words, which collectively represent a topic in a large collection of documents. The article focusses on…

## Introduction to Random Forest

Introduction: Random Forest Now that we have an idea about decision trees and how exactly they work, I think we can now go a step further and try to improve our decision tree models by introducing a very basic but very effective extension for decision trees, which are popularly known as “Random Forest”. To understand decision trees in detail, you…

## All you want to know about Decision Tree Part 3

Decision Tree Part 3 This is the third article in the decision tree series, you can access other two here: Part 1: All you need to know about Decision Tree Part 1) Part 2: All you need to know about Decision Tree Part 2) In this previous article, I tried to construct a decision tree using R. For this, I have considered…

## All you need to know about Decision Tree-Part 2

Introduction In my previous article, (All you need to know about Decision Tree Part 1), we have discussed on how a decision tree looks like, its terminology and we also have seen an example of a decision tree. Now that you got a basic idea on decision tree, in this article, I will discuss on some of the major concepts…

## Text Analytics: Mining Enron Emails

Mining Enron Emails You might have heard about the Enron scandal that came to light in 2001 which eventually led to bankruptcy of the Enron corporation. This is the largest corporate fraud that had happened so far. The Enron top-honchos used what is called Mark-to-market accounting to make up their financial statements. They used this accounting and financial shenanigan to…

Neural Networks

## Activation Functions in ANNs (Conclusion)

In my last article Activation Functions in ANNs, we discussed on few activation functions, now let’s explore more on some other available activation functions. Tanh Function These are scaled sigmoid function which is similar to sigmoid functions. Or It is nonlinear so we can have more than one layer of neurons depending upon the requirement. Its range is (-1, 1).…