Domains & MOCs
| Path | Domain / Folder | MOC | Summary |
|---|
/Machine Learning/ | Machine Learning | Machine Learning MOC | Core concepts, data preparation, algorithms, and models for ML/DL/AI. |
/Deep Learning/ | Deep Learning | Deep Learning MOC | Notes on CNNs, Neural Networks, Batch Normalization, and Frameworks. |
/Image Generation/ | Image Generation | Image Generation MOC | Models and history of Image Generation AI. |
/Jekyll/ | Jekyll | Jekyll MOC | Guides, commands, and core concepts for building static sites with Jekyll and Ruby. |
/Software Engineering/ | Software Engineering | Software Engineering MOC | Programming languages, tools, IDEs, and general software development notes. |
/Data Science/ | Data Science | Data Science MOC | Methodologies like CRISP-DM and data processing standards. |
/Projects/ | Projects | Projects MOC | Personal projects, ideas, and portfolio documentation. |
/Publications/ | Publications | Publications MOC | Academic research and publications. |
/Code Snippets/ | Code Snippets | Code Snippets MOC | Reusable code fragments and technical snippets for ML, NLP, and general programming. |
/Books/ | Books | Books MOC.md | Auto-ingested domain. |
/Natural Language Processing/ | Natural Language Processing | Natural Language Processing MOC.md | Auto-ingested domain. |
/Economics/ | Economics | Economics MOC | Economic theories, game theory, and market dynamics. |
/Resources/ | Resources | Resources MOC | External tools, media repositories, and technical reference libraries. |
Vault Management
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