Akun-python/autumn-recruitment

Autumn recruitment preparation for algorithm position. Contains categorized LeetCode solutions, enterprise written exam codes, interview experience and CS fundamentals notes including CN, OS and DB.

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🎯 Autumn-Recruit Algo Notes 面向大模型时代的算法、工程与 AI 学习共建仓库 从数学基础、数据结构,到机器学习、深度学习、LLM、Agent、AI-Infra、语音与数据科学, 通过「理解 → 推导 → 手写 → 运行 → 验证 → 复盘」构建可持续迭代的知识体系。 学习算法和 AI,往往会遇到三个问题: 这个仓库尝试把学习过程整理成一条可执行、可验证、可复盘的路径: 它不是一份“标准答案”,也不是一个已经完成的教材,而是一个持续建设中的公开学习基地。内容中难免存在不准确、不完整或可以改进的地方,欢迎大家指出问题、补充案例、分享经验,一起把它变得更好。 我们希望把这个仓库逐步建设成一个: 如果这个项目对你有帮助,欢迎: 每一条认真反馈,都会帮助这个项目更接近“真正可学、可用、可复现”的目标。 传统学习往往是:找资料 → 阅读 → 做笔记 → 背诵。 在大模型时代,我们可以把学习升级为一个人机协作、代码驱动、持续验证的闭环: 大模型可以快速给出解释,但解释不一定正确,也不一定适合你的背景。建议继续追问: 一个算法是否真正理解,至少可以尝试: 大模型适合帮助我们: 但关键的判断、实验设计、结果核验和最终表达,仍然应该由学习者自己完成。 真正有价值的不是背下某个模型的细节,而是理解: 当前仓库包含 23 个主题模块、232 篇教学 Notebook,并持续增加中。 Notebook 数量会随着内容扩充而变化,README 中的统计是阶段性快照,具体以仓库目录为准。 适合从基础开始建立完整算法直觉的同学。…

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Read the full README ↗ · Preview checked 2026-10-05T12:26:51.904Z

Inside the original README — Document outline
  1. 🌱 为什么做这个项目
  2. 🚀 项目愿景
  3. 🧭 大模型时代下,学习正在发生什么变化
  4. 这套新范式的核心原则
  5. 1. 不只问“答案是什么”,还要问“为什么”
  6. 2. 不只阅读代码,还要让代码接受测试
  7. 3. 不把大模型当作替代思考,而把它当作学习伙伴
  8. 4. 从“记住一个答案”转向“建立可迁移的模型”
  9. ✨ 内容特色
  10. 📊 当前规模
  11. 🧩 模块总览
  12. 🗺️ 推荐学习路线

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What this repository does

Autumn recruitment preparation for algorithm position. Contains categorized LeetCode solutions, enterprise written exam codes, interview experience and CS fundamentals notes including CN, OS and DB.

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Owner
Akun-python
Primary language
Jupyter Notebook
Stars
162
Forks
22
Open issues + pull requests
0
License
MIT
Archived
No
Default branch
main
Created
2026-09-29T08:00:33.000Z
Last push
2026-10-04T09:20:57.000Z

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