# Artificial Intelligence and Data Sciences in Real-world Business

A quick rundown of my doctoral research presented at the BA Forum 2023

A quick rundown of my doctoral research presented at the BA Forum 2023

Twitter is shutting down Revue, the newsletter platform that I use for Next. Thus, I’m migrating to Substack. You shouldn’t need to do anything on your side.

In this lab session, I share how to use apriori algorithm for association mining. The goal is to find useful causal and association rules which can help in designing promotions for the company. Plus, you get to see what’s served at an Indian cafe.

Population collapse is a theory that says if the growth rates continue to decline the way they are decreasing right now, we would reach population zero. It is a stage where the population neither grows, nor declines. That is, the number of births plus in-migrants equals the number of deaths plus out-migrants. While this may sound cheerful, you may not have considered the pitfalls yet.

Support vector machines (SVM) are remarkable for the unification of geometric theory, elegant mathematics, theoretical guarantees with strong practical use cases. In this blog post, I demonstrate certain properties of SVM and how to use them with caret package in R.

Bihar is one of the poorest states in India. Their over all literacy rate is 70% but there’s stark difference between girls (50%) and boys (70%). In 2007, the government decided to distribute bicycles to all girls for free in the hope to get higher school enrollment. The program was called Mukhyamantri Balika Cycle Yojna (Chief Minister’s Programme on Cycle for Girls). The program had astonishing improvements.

There’s a famous saying: All models are wrong but some are useful. How much of statistics is wrong and how much of it is useful? Some thoughts on Hans Rosling’s popular talk on global economic development and optimism.

What is Next? A short and sweet curated collection of R-related works. Five stories. Four packages. Three jargons. Two tweets. One Meme. You can subscribe by providing your details here. Promise, no spams. Email address First name (Optional) Last name (Optional) By subscribing, you agree with Revue’s Terms of Service and Privacy Policy. If you are unsure, here are some editions that my readers loved.

A Simple Method to Calculate Distance between Discrete Variable

What should the progress bar show? How to measure 10% work done?

A Casual Interview of Prof Michael Galbreth

A Casual Interview of Prof Emre Demirkaya

Yet Another Machine Learning Project with Titanic Dataset

An Incomplete Data Exploration

Intuitive Understanding and Mathematical Notions

Using linear regression to find the optimal value of an input

What constitutes artificial general intelligence? Where are we lacking? What can we do to “get” it?

Econometrics Course Project

Python Functions for Bayesian Learning (COSC 522 Project)

Simulation of Ellsberg’s Paradox

Attending My First Academic Conference

Is there any evidence of tampering or manipulation in COVID-19 daily cases reported by countries? Using Benford analysis in R, I try to reach at some conclusion.

Summary of my research work on forecasting coverage for Malaria vaccines

Research Paper on Malaria Vaccine Coverage Prediction

Using rTweet package in R to analyse live tweets from Twitter

Research paper on statistical modelling and analysis of computer-simulated datasets

Measuring efficiency of Indian higher education institutes using Data Envelopment Analysis

My first academic publication: a peer-reviewed book chapter on statistical modelling using Gaussian processes. We reviewed several GP models and correlation structures, and methods to handle numerical instabilities due to near-singular matrices. Finally, we reviewed several algorithms developed specifically for analysing big data obtained from computer simulators.

Summer intership on studying Gaussian process modelling

Summer internship on studying near-singularity in Gaussian correlation matrices