Data + ML

Concepts, Notes and Intuitions

GPU Essentials - A Concise Technical Guide

A concise, technical guide to GPU architecture and CUDA, showing how massive parallelism is achieved through threads, blocks, SMs, and memory hierarchies.

26 min read · 2025

Wrapping Up Our ML Foundations Journey

A reflection on our exploration of machine learning fundamentals, from mathematical prerequisites to gradient boosting.

3 min read · 2025

MLP Standard Derivatives Derivation

MLP Standard Derivatives Derivation

3 min read · December 13, 2025

2025 · ML · ML-NYU
Simple MLP - Forward and Backward Pass (With Einsum) Derivation

Simple MLP - Forward and Backward Pass Derivation

9 min read · December 13, 2025

2025 · ML · ML-NYU
GPU Notes

GPU Architecture and Programming Course at NYU Courant - Lecture and Conceptual Notes

22 min read · December 11, 2025

2025 · GPU · GPU-NYU
Big Data Storage

Realtime and Big Data Analytics Course at NYU Courant - Conceptual Notes 2

14 min read · October 22, 2025

2025 · RBDA · RBDA-NYU
Introduction to Realtime and Big Data Analytics

Realtime and Big Data Analytics Course at NYU Courant - Conceptual Notes 1

5 min read · October 22, 2025

2025 · RBDA · RBDA-NYU

Data + ML

Concepts, Notes and Intuitions

GPU Essentials - A Concise Technical Guide

Wrapping Up Our ML Foundations Journey

MLP Standard Derivatives Derivation

Simple MLP - Forward and Backward Pass (With Einsum) Derivation

GPU Notes

Big Data Storage

Introduction to Realtime and Big Data Analytics