📝 Reading Notes

Textbook notes covering core statistical concepts, inference, and theory.

围绕统计学核心概念、推断方法与理论基础整理的教材笔记。

Learning notes on the foundations, training, and practice of large language models.

大语言模型相关基础、训练方法与实践内容的学习记录。

Notes from Stanford CS229 on supervised learning, unsupervised learning, and learning theory.

Stanford CS229 机器学习课程笔记，涵盖监督学习、无监督学习与学习理论。

Course notes on building language models from scratch, from data to training systems.

从零构建语言模型，记录模型架构、训练系统与数据处理等课程内容。

Course notes on value functions, policy methods, and foundational reinforcement learning algorithms.

强化学习基础课程笔记，包括价值函数、策略方法与经典算法。

Notes on optimization theory, algorithms, and modeling techniques for data analysis.

数据分析中的优化方法笔记，涵盖基础理论、算法与实际建模思路。