Taking notes on Quant Finance, Machine Learning & Computer Science
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
计算机底层的秘密，陆小风 - 2023，电子工业出版社
System Design Interview, An Insider's Guide, Second Edition - by Alex Xu 2020, Chinese translation 2023
BDAI Conference, 2024 Oct 3-5, UChicago
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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