Policy Iteration Algorithm in a Nutshell
Aug 4th, 2025

Policy Iteration with Maze Example.

Iterative Policy Evaluation in a Nutshell
Aug 3rd, 2025

Check if an agent is doing the right thing with Policy Evaluation Methods

RL in a Nutshell
Aug 2nd, 2025

Reinforcement learning is about an agent learning to make better decisions through trial and error to maximize long-term rewards. What does that entail in practice?

Logistic Regression with Gradient Descent
January 19th, 2025

Details on how the gradient decent algorithm is implemented.

Importance of Maximum Likelihood Estimation for Machine Learning
January 11th, 2025

In this blog post I explain how the Maximum Likelihood Estimator is used in Machine Learning.

Scaling LLMs with Triton Inference Server: A Hands-on Guide
November 11th, 2024

Get hands-on experience with deploying Large Language Models (LLMs) at scale using NVIDIA's Triton Inference Server.

Tech stack for rapid prototyping applications
June 3rd, 2023

In this blog I will focus on the ways in which I set up a backend and frontend to do rapid prototyping of full stack applications.

Term Frequency-Inverse Document Frequency
August 1th, 2022

In this tutorial we will look at what TF and IDF are and how they can be use to process text data in Machine learning.

Large Scale Vector Comparison
July 9th, 2022

In this post, we will look at the quora qna dataset and aim to encode and compare all question pairs. The purpose of is to look at a real dataset.

Comparing Vectors with Cosine Simlarity Function
July 4th, 2022

This tutorial will focus on the math behind text vector similarity using numpy, pytorch, and stentence-transformers libraries in python.

D3 Tutorial
December 24th, 2019

In this post, I outline-solid the ways in which d3 library works with the <svg> elements.