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alirezadir/Machine-Learning-Interviews
默认分支 main · commit e6128f6c · 扫描时间 2026/6/21 06:18:12
星标 8,436 · Fork 1,484
下方为分数趋势(含全部就绪扫描;左旧右新,可横向滚动)。表格明细默认折叠,展开后每页 10 条,最新在上。
共 2 条就绪扫描。点击下方按钮展开表格(每页 10 条,可翻页)。
行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 alirezadir/Machine-Learning-Interviews 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。
行动计划 — 可复制粘贴的修复
3 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。
- highreadme#1Clarify README's immediate purpose and unique value
原因:
当前README starts with badges, then 'News' section about coaching.
复制粘贴的修复Add a concise, direct statement about the repo's purpose and its key differentiator (up-to-date GenAI/LLM content) right after the main title, before the 'News' section. For example: 'This repository is a comprehensive, up-to-date guide for Machine Learning and AI technical interviews, featuring the latest GenAI and LLM topics (updated for 2026).'
- highhomepage#2Add Homepage URL to repository metadata
原因:
复制粘贴的修复https://aimlinterviews.io
- mediumreadme#3Enhance README's introduction with a 'What You'll Find' or 'Key Features' section
原因:
当前The README has a 'News' section and then dives into chapters.
复制粘贴的修复Add a brief section (e.g., 'What You'll Find' or 'Key Features') immediately after the main purpose statement that highlights the types of content covered, such as: 'This guide covers ML/AI system design, LLMs & Agentic AI, technical interviews, behavioral interviews, and leadership interviews.'
本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash
品类可见性 — 真正的 GEO 测试
向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?
各模型使用同一组问题 — 切换标签对比回答与排名。
- Cracking the Coding Interview · 被推荐 1 次
- Machine Learning Interview Questions · 被推荐 1 次
- Deep Learning Interviews · 被推荐 1 次
- LeetCode · 被推荐 1 次
- HackerRank · 被推荐 1 次
- 品类问题What resources are available to prepare for machine learning and AI technical interviews?你:未被推荐AI 推荐顺序:
- Cracking the Coding Interview
- Machine Learning Interview Questions
- Deep Learning Interviews
- LeetCode
- HackerRank
- Elements of Statistical Learning
- Towards Data Science
AI 推荐了 7 个替代方案,却始终没点名 alirezadir/Machine-Learning-Interviews。这就是要补上的差距。
查看 AI 完整回答
- 品类问题How can I practice machine learning system design questions for AI engineering roles?你:未被推荐AI 推荐顺序:
- Designing Machine Learning Systems by Chip Huyen
- Machine Learning System Design Interview by Alex Xu and Sijie Guo
- System Design Interview – An Insider's Guide by Alex Xu
- Grokking the Machine Learning Interview (Educative.io course)
- Machine Learning Engineering by Andriy Burkov
- Building Machine Learning Powered Applications by Emmanuel Ameisen
- System Design Interview (YouTube channel)
- AlgoExpert (YouTube channel)
- Code with Purna (YouTube channel)
AI 推荐了 9 个替代方案,却始终没点名 alirezadir/Machine-Learning-Interviews。这就是要补上的差距。
查看 AI 完整回答
客观检查
针对 AI 引擎最看重的元数据信号的规则审计。
- Metadata completenesswarn
建议:
- README presencepass
自指检查
当被直接问到你时,AI 是否还知道你的仓库存在?
- Compared to common alternatives in this category, what is the core differentiator of alirezadir/Machine-Learning-Interviews?passAI 未点名 alirezadir/Machine-Learning-Interviews —— 很可能在说另一个项目
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- If a team adopts alirezadir/Machine-Learning-Interviews in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 alirezadir/Machine-Learning-Interviews
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- In one sentence, what problem does the repo alirezadir/Machine-Learning-Interviews solve, and who is the primary audience?passAI 未点名 alirezadir/Machine-Learning-Interviews —— 很可能在说另一个项目
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
嵌入你的 GEO 徽章
把这个徽章贴进 alirezadir/Machine-Learning-Interviews 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。
[](https://repogeo.com/zh/r/alirezadir/Machine-Learning-Interviews)<a href="https://repogeo.com/zh/r/alirezadir/Machine-Learning-Interviews"><img src="https://repogeo.com/badge/alirezadir/Machine-Learning-Interviews.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
alirezadir/Machine-Learning-Interviews — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。
- 深度报告每月 10 次
- 无品牌品类查询5,轻量 2
- 优先行动项8,轻量 3