Taking notes on AI, LLM, Machine Learning, Computer Science & Quant Finance.
- 1. LangGraph & Cursor AI
- 2. DeepSeek
- 3. Foundations of LLMs
- 4. AI LLM
- 5. NVIDIA GTC | AI Conference for Developers
- 6. System Design Interview
- 7. Computer Systems
- 8. Big Data and AI in Finance, Econometrics and Statistics Conference, UChicago 2024
- 9. C++ Design Patterns and Derivatives Pricing
- 10. High-Frequency Finance
- 11. Machine Learning for Algorithmic Trading
- 12. Stochastic Volatility Modeling
- 13. Quant Job Interview Questions
- 100. Distributed Systems
- 101. Language Models
- 102. Designing Machine Learning Systems
- 103. Designing Data-Intensive Applications (DDIA)
- 104. Distributed Machine Learning
- 105. The Elements of Quantitative Investing
- Ed Donner: LLM Engineering: Master AI, Large Language Models & Agents
- Eden Marco: LangChain-Develop LLM powered applications with LangChain
- Eden Marco: LangGraph-Develop LLM powered AI agents with LangGraph
- Eden Marco: Cursor Course: FullStack development with Cursor AI Copilot
GitHub Projects
- Code-Interpreter-ReAct-LangChain-Agent
- LLM-Documentation-Chatbot
- Cognito-LangGraph-RAG
- LangGraph-Reflection-Researcher
- Cursor-FullStack-AI-App
Educative: Everything You Need to Know About DeepSeek | Markdown Notes
大模型基础，毛玉仁等 - 2024，浙大
System Design Interview, An Insider's Guide, Second Edition - by Alex Xu 2020, Chinese translation 2023
Educative - System Design Interview | PDF Notes | Markdown Notes
计算机底层的秘密，陆小风 - 2023，电子工业出版社
BDAI Conference, 2024 Oct 3-5, UChicago
C++ Design Patterns and Derivatives Pricing (Mathematics, Finance and Risk, Series Number 2) 2nd Edition, by M. S. Joshi
An Introduction to High-Frequency Finance, by Ramazan Gençay, et al.
Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition Paperback – by Stefan Jansen 2020
Stochastic Volatility Modeling (Chapman and Hall/CRC Financial Mathematics Series) 1st Edition, by Lorenzo Bergomi
Quant Job Interview Questions and Answers (Second Edition) – by Mark Joshi 2013
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Future Readings:
深入理解分布式系统，唐伟志 - 2022，电子工业出版社
预训练语言模型，邵浩 刘一烽 - 2021，电子工业出版社
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications - by Chip Huyen
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Book - by Martin Kleppmann
分布式机器学习，刘铁岩等 - 2018，机械工业出版社
The Elements of Quantitative Investing - by Giuseppe Paleologo 2025