/Machine Learning/ | Machine Learning | Machine Learning MOC | Foundations, math, classical ML, deep learning, reinforcement learning, and applications. |
/Generative AI/ | Generative AI | Generative AI MOC | VAEs, GANs, and the history and models of image generation. |
/Agents/ | Agents | Agents MOC | Agent memory, benchmarks, and full-duplex conversational agents. |
/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, plus big data tools: Hadoop, Spark, Kafka, and Airflow. |
/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 | Reading notes on ML systems, hands-on ML, and NLP books. |
/Natural Language Processing/ | Natural Language Processing | Natural Language Processing MOC | Language modeling, word vectors, tokenization, RNNs, Transformers, and LLMs. |
/Computer Vision/ | Computer Vision | Computer Vision MOC | Image basics, filtering, edges and corners, template matching, pyramids, and RANSAC. |
/Economics/ | Economics | Economics MOC | Economic theories, game theory, and market dynamics. |
/Resources/ | Resources | Resources MOC | External tools, media repositories, and technical reference libraries. |