I write about machine learning, deep learning and lately more about NLP.
Building an infernece engine for machine translation transformer model in C++.
A complete guide to the transformer architecture, attention mechanisms, and positional encoding.
A guide on Attention mechanism for seq2seq models.
Model evaluation, bias-variance decomposition, and how regularization techniques constrain complexity.
Probabiliskjhjdlknlkfbtic power of Logistic Regression: A deep dive into its linear roots and sigmoid derivation.
Mathematical art of drawing a straight line through a cloud of chaos and confidently calling it a prediction.
Building Blocks of Machine Learning
The Geometry of Meaning : Turning meaning into maths.
The Art of Mathematical Forgetting: How to throw away 90% of your data without losing the meaning.
Finding the stillness inside the transformation.
Matrices are Machines, Not Just Grids
The Kernel Trick - Folding Space. Why struggle to bend the line when you can just fold the space?