Latest Posts From Arkaprabha Majumdar

Natural Language Processing Tasks

Natural Language Processing: How to Process NLP Data?

In this article we’ll look at some of the most popular NLP tasks, and how to perform them using Python.

Rasa Chatbot – A Powerful Chatbot Framework

Hello readers! Well done on completing the intent classification task. In this article, let me introduce you to the Rasa chatbot framework. It is an NLU (Natural Language Understanding) framework. So let’s learn about it…..

Introduction To Chatbots (1)

Retrieval-based Intent Classification in Chatbots 2/4

Since we discussed theoretical stuff in the first part of this chatbot series, I thought we should now try some practical stuff. So in this part, of course, we’ll start with some introduction about intent, and then work on a dataset.

Introduction To Chatbots (2)

Retrieval-based Intent Classification in Chatbots 3/4

So welcome back to the final part of intent classification in chatbots! We already went over the dataset and we performed some necessary operations on it to be able to use it in the previous….

Introduction To Chatbots

Introduction to Chatbots – How Chatbots work? 1/4

Many companies today claim that they have chatbots running on NLP and that they are creating responses on the fly. But how do Chatbots work? Chatbots are aiming to make natural interactions indistinguishable from human….

Pandas Profiling In Python

Pandas Profiling in Python

Let me give you a tool so strong, it will change the manner you start analyzing your datasets – pandas_profiling

Face Recognition

Face Recognition Technology: Theory of DeepFace and Pyramid CNN

As it was presented in the MIT Technology Review, Facebook’s face recognition article, which was posted and approved on CVPR2014 drew heavy interest. It achieves almost human-like person recognition accuracy by large-scale learning using 4.4….

Genetic Algorithms

Genetic Algorithms – A Detailed Introduction

The Genetic Algorithm (GA) is a technique of search-driven optimization based on Genetics and Natural Selection principles.
It is also used to discover optimum or near-optimal solutions to complex situations that would otherwise take a lifetime to solve. It is also used to solve problems of optimization, in science, and in machine learning.

Python Dataframe Operations

Python Pandas Dataframe Operations Summary

A common need for data processing is grouping records by column(s). In today’s article, we’re summarizing the Python Pandas dataframe operations. These possibilities involve the counting of workers in each department of a company, the….

General Adversarial Networks

Generative Adversarial Networks – Reinforcement Learning Framework

A type of deep neural network known as the generative adversarial network (GAN) is a subset of deep learning models that produce entirely new images using training data using two of its components.

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