AIML(0-to-100): AI & ML Knowledge Base

Welcome to My AI & ML Knowledge Base (aiml-0-to-100). You can explore notes organized by category, tracking concepts from foundations up to systems and frameworks. The goal is to enable rigorous first-principles thinking, clean formulations, and continuous technical sharpening.

🔬 Background & Context (About Me)

Author: Ujjal Kumar Dutta • Website • GitHub
Industry Roles: Led Applied Science, ML Engineering Teams and initiatives for large-scale ML based production systems at Amazon, Myntra, Dolby.
Research Focus: Computer Vision, NLP, GenAI, Representation Learning, and Efficient Model Optimization (20+ top-tier publications across AAAI, CVPR, ECCV, NeurIPS).
Education: PhD & MS from IIT Madras (Recipient of the IBM Best PhD Thesis Award).

Note: Maintained for technical reference and study. Licensed under CC BY-NC 4.0.

Classical Machine Learning
Deep Learning
Computer Vision
Natural Language Processing
Recommender Systems
ML System Design
ML Engineering
Tools

AIML(0-to-100): AI & ML Knowledge Base

🔬 Background & Context (About Me)

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