Posts
Transformer from Scratch #04 — Input Embedding
How raw text becomes a matrix of numbers the Transformer can work with — tokenization, the embedding table, and why meaning emerges from training.
TransformerDeep LearningNLPEmbeddingsFrom ScratchJune 27, 2026 • 6 min read
0 views
Building a Transformer from Scratch — What, Why, and How
An introduction to the Transformer architecture — why RNNs fell short, how the Transformer changed everything, and what you'll build in this hands-on course.
TransformerDeep LearningNLPPyTorchFrom ScratchJune 27, 2026 • 5 min read
0 views
Conda Environment Cheatsheet — For Everyone Using Conda in VS Code
Quick reference guide so you don’t have to memorize all the commands when creating or using a Conda environment.
CondaCheatsheetcommandsAugust 12, 2025 • 2 min read
0 views
Every Data Scientist Should Know This By Heart— Beginners Level Machine Learning Concept
A high-level overview of the fundamental machine learning concepts every data scientist should know before starting their ML journey.
Machine LearningData ScienceML ConceptsApril 13, 2025 • 7 min read
0 views
An introduction to TinyML
An introduction to TinyML, its benefits, real-world applications, beginner projects, and the hardware that powers this low-power, edge-based machine learning revolution.
TinyMLMachine LearningEdge AIApril 13, 2025 • 3 min read
0 views