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Machine Learning - The Science, The Engineering, and The Ops

The Illusion of Chat: Why You’re Not Really Conversing with an AI

22 minute read

Published: April 10, 2026

Democratizing Data and Eliminating Toil: Using MCP to Bring Data to People

less than 1 minute read

Published: February 11, 2026

Why Won’t My AI Answer That? A Look into LLM Safety and Moderation

9 minute read

Published: August 15, 2025

ChatGPT- What, How, Why, and Where?

8 minute read

Published: March 09, 2023

Engineering a Naive Bayes model for Online Training

7 minute read

Published: May 07, 2022

Machine Learning Monitoring — What, Why, Where, and How?

4 minute read

Published: April 13, 2022

Feature Stores — What, Why, Where and How?

3 minute read

Published: April 13, 2022

Feature selection — Correlation and P-value

6 minute read

Published: September 12, 2018

Decision Trees — A Bird’s eye view and an Implementation

4 minute read

Published: August 27, 2018

Convolutional Neural Network — A Bird’s eye view with an implementation

7 minute read

Published: August 18, 2018

Differential Calculus

Matrix Multiplcation

Normal Equations

Mathematical Notations and Terminologies

Some Math for Machine Learning

Linear Models

Gradient Descent

Understanding the Transformer: A Deconstruction of ‘Attention Is All You Need’

Published: October 13, 2025

BERT Explained: Solving the Unidirectionality Constraint in NLP

Published: November 05, 2025

GPT-2 Explained: Scaling Language Models for Unsupervised Multitask Learning

Published: November 22, 2025

T5 Explained: Solving NLP Fragmentation with a Unified Text-to-Text Framework

Published: December 27, 2025

GPT-3 Explained: Overcoming the Fine-Tuning Bottleneck with In-Context Learning

Published: February 20, 2026