{"repo":"Erlemar/dswok","free":true,"listed":false,"github":"https://github.com/Erlemar/dswok","clone":"git clone https://github.com/Erlemar/dswok.git","description":"A collection of notes on Data Science","language":"JavaScript","stars":33,"topics":["datascience","machine-learning","machine-learning-algorithms","hacktoberfest","agent-skills","claude","knowledge-base","obsidian"],"license":"CC-BY-4.0","category":"machine-learning","readme_excerpt":"DSWoK — Data Science Well of Knowledge An open-source ML knowledge base: algorithms, architectures, metrics, system design, and interview preparation. Read online at dswok.com About DSWoK is an Obsidian vault of interconnected notes on machine learning and data science. It's designed as a reference for practitioners to look up during work or interview preparation. What's inside - General ML — classical algorithms, validation, regularization, bias-variance trade-off - Deep learning — attention, recommendation architectures, parameter-efficient training (LoRA) - NLP — word embeddings, Transformer, BERT, Retrieval-Augmented Generation - Metrics and losses — classification, regression, ranking/recsys, computer vision, and NLP metrics; general, NLP, and computer vision loss functions - Interview preparation — ML fundamentals, deep learning, statistics, ML system design, behavioral, Leetcode templates - Use cases — end-to-end design walkthroughs for production ML problems Additionally, I write paper reviews on my blog they're intentionally not duplicated here. How to use it Read online. dswok.com is the easiest way — full navigation, search, and graph view. Use locally in Obsidian. Clone the repo and open it as a vault: git clone https://github.com/Erlemar/dswok.git You get the full Obsidian experience: graph view, backlinks, and interactive search. Read on GitHub. Every note is a plain markdown file. Browse the folders directly if you don't need the cross-linked view. License © An","default_branch":null,"files":null,"tree":[],"storefront":"/r/Erlemar","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Erlemar/dswok/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}