[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-5-ge-ml-xue-xi-pai-hao-shun-xu-de-zi-yuan-zh":3,"article-related-5-ge-ml-xue-xi-pai-hao-shun-xu-de-zi-yuan-zh":32,"series-industry-03cdfc0d-bff7-42c8-b7de-bea35eb1b933":78},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":24,"views":28,"created_at":29,"published_at":30,"topic_cluster_id":31},"03cdfc0d-bff7-42c8-b7de-bea35eb1b933","5-ge-ml-xue-xi-pai-hao-shun-xu-de-zi-yuan-zh","5 個把 ML 學習排好順序的資源","\u003Cp>想找一個 \u003Ca href=\"\u002Ftag\u002Fgithub\">GitHub\u003C\u002Fa> 倉庫，把\u003Ca href=\"\u002Ftag\u002F機器學習\">機器學習\u003C\u002Fa>專案按程度和用途排好嗎？\u003C\u002Fp>\u003Cp data-speakable=\"summary\">這份索引整理了 1000+ 個機器學習專案，適合入門、作品集和面試準備。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>規格 A\u003C\u002Fth>\u003Cth>規格 B\u003C\u002Fth>\u003Cth>規格 C\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002F0voice\u002Fawesome-2026-AI-Machine-Learning-1000Projects\">0voice\u002Fawesome-2026-AI-Machine-Learning-1000Projects\u003C\u002Fa>\u003C\u002Ftd>\u003Ctd>1000+ 專案與資源\u003C\u002Ftd>\u003Ctd>190 stars\u003C\u002Ftd>\u003Ctd>涵蓋全階段\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>入門區\u003C\u002Ftd>\u003Ctd>課程、筆記、起手專案\u003C\u002Ftd>\u003Ctd>新手\u003C\u002Ftd>\u003Ctd>低門檻\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>進階區\u003C\u002Ftd>\u003Ctd>優化、畢設、面試題\u003C\u002Ftd>\u003Ctd>求職者\u003C\u002Ftd>\u003Ctd>實戰導向\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>1. 一份能從頭用到尾的 ML 索引\u003C\u002Fh2>\u003Cp>\u003Ca href=\"https:\u002F\u002Fgithub.com\u002F0voice\u002Fawesome-2026-AI-Machine-Learning-1000Projects\">0voice\u002Fawesome-2026-AI-Machine-Learning-1000Projects\u003C\u002Fa> 的重點，不是把連結堆滿，而是把機器學習學習路徑整理成一張長期可用的\u003Ca href=\"\u002Fnews\u002Fawesome-llm-turns-llm-research-into-a-map-zh\">地圖\u003C\u002Fa>。README 主打 1000+ 個開放專案，也強調會持續更新，方便對應 2026 年的學習與面試需求。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783650769467-chf3.png\" alt=\"5 個把 ML 學習排好順序的資源\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>如果你常在不同文章、舊倉庫和零散教學之間切換，這種索引型整理會省很多時間。你可以把它當成唯一入口，從第一個練習一路走到更完整的實作。\u003C\u002Fp>\u003Cul>\u003Cli>新手可以先找入門材料\u003C\u002Fli>\u003Cli>中段學習可接著做小專案\u003C\u002Fli>\u003Cli>畢設與作品集也有題目可挑\u003C\u002Fli>\u003Cli>面試前能快速補實戰語彙\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>2. 新手先看這一區最省力\u003C\u002Fh2>\u003Cp>入門區放的是課程、筆記和起手專案，對還在補基礎的人很友善。像 \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002FML-For-Beginners\">ML-For-Beginners\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fpytorch\u002Ftutorials\">PyTorch tutorials\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Famueller\u002Fintroduction_to_ml_with_python\">Introduction to Machine Learning with Python\u003C\u002Fa> 都能在索引裡找到，適合先讀再做。\u003C\u002Fp>\u003Cp>這比單純的專案清單更實用，因為你可以邊看邊跑，慢慢建立詞彙和直覺。倉庫也收了中文筆記與課程材料，對想用母語理解概念的人很加分。\u003C\u002Fp>\u003Cul>\u003Cli>課程筆記與書籍配套\u003C\u002Fli>\u003Cli>小型實作與練習題\u003C\u002Fli>\u003Cli>Python、深度學習入門線\u003C\u002Fli>\u003Cli>適合自學時排週計畫\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>3. 想做作品集，先挑這類題目\u003C\u002Fh2>\u003Cp>這份索引裡最容易直接拿來做作品集的，是那些資料明確、題目好講的專案。你會看到像網購意圖分析、Amazon 暢銷書分析、YouTube 熱門影片分析、電影熱度預測、手機價格預測這類題目，剛好能練到資料清理、特徵工程和\u003Ca href=\"\u002Fnews\u002Fmicrosoft-365-apps-steer-you-to-mai-models-zh\">模型\u003C\u002Fa>評估。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783650763885-qi6n.png\" alt=\"5 個把 ML 學習排好順序的資源\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>對求職者來說，這類題目最好用的地方是面試時講得清楚。你可以再往前補圖表、指標和失敗案例，讓簡單題目變成完整案例。\u003C\u002Fp>\u003Cul>\u003Cli>分類與回歸都能練\u003C\u002Fli>\u003Cli>商業題材容易說明\u003C\u002Fli>\u003Cli>適合 notebook 或 demo\u003C\u002Fli>\u003Cli>可直接放進 GitHub 履歷\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>4. 畢設題目需要深度，這裡也有\u003C\u002Fh2>\u003Cp>倉庫不只照顧新手，也把畢業專題會用到的題目放進來。因為它同時涵蓋 CV、NLP、傳統 ML 和深度學習，你可以從中挑一個有足夠範圍的主題，拿來做報告、簡報和實作。\u003C\u002Fp>\u003Cp>這一區的價值在於，它幫你避開「太小做不滿」的題目。先選領域，再往外找論文、教學和\u003Ca href=\"\u002Fnews\u002Fentire-agent-git-network-ai-code-trust-zh\">程式\u003C\u002Fa>碼，通常就能拼出一個完整方案。\u003C\u002Fp>\u003Cul>\u003Cli>影像偵測、分割等 CV 題目\u003C\u002Fli>\u003Cli>文本分類、情緒分析等 NLP 題目\u003C\u002Fli>\u003Cli>時間序列與多模態方向\u003C\u002Fli>\u003Cli>適合學期制專題安排\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>5. 面試複習時，這份索引很好用\u003C\u002Fh2>\u003Cp>如果你的目標是找工作，這份索引不只拿來看題目，也能拿來練回答。你可以用每個專案去想資料怎麼選、模型怎麼比、指標怎麼定、部署有什麼限制，這些就是面試常問的重點。\u003C\u002Fp>\u003Cp>README 直接提到面試場景，這也合理。招聘方常會追問缺失值、類別不平衡、過擬合或指標選擇，而這份清單能提供很多可練的案例。\u003C\u002Fp>\u003Cul>\u003Cli>行為題可講專案故事\u003C\u002Fli>\u003Cli>技術題可講模型取捨\u003C\u002Fli>\u003Cli>能練完整 ML 流程\u003C\u002Fli>\u003Cli>適合模擬面試題庫\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>怎麼挑\u003C\u002Fh2>\u003Cp>如果你要的是一個能從入門一路看到求職的總索引，這份倉庫很值得收。新手先看入門區，想做作品集就挑實作題，準備畢設的人找深度題，面試前再回頭整理專案敘述。\u003C\u002Fp>\u003Cp>如果你只需要一個短教程，單一課程可能更快；但如果你想要 1000+ 個可選項，並且希望同一份資料能同時支援學習、實作和面試，這個索引會更合適。\u003C\u002Fp>","1000+ 個 ML 專案、4 類學習階段、190 星：這份索引適合新手、作品集與面試準備，一次看懂該從哪裡開始。","github.com","https:\u002F\u002Fgithub.com\u002F0voice\u002Fawesome-2026-AI-Machine-Learning-1000Projects",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783650769467-chf3.png","industry","zh","5de2214c-b32f-4c0e-a886-a110c6ad1b39",[17,18,19,20,21,22,23],"機器學習","GitHub","專案索引","新手入門","作品集","畢業專題","面試準備",[25,26,27],"1000+ 個 ML 專案被整理成同一份索引，適合一路從入門用到求職。","入門區、作品集題目、畢設方向和面試素材都能在同一倉庫找到。","如果你要的是廣而全的學習地圖，這比單一教程更省搜尋時間。",0,"2026-07-10T02:32:23.014288+00:00","2026-07-10T02:32:23.005+00:00","cbb5502b-bbe9-46e9-857e-fb935c24b7bb",{"tags":33,"relatedLang":37,"relatedPosts":41},[34,35],{"name":17,"slug":17},{"name":18,"slug":36},"github",{"id":15,"slug":38,"title":39,"language":40},"ml-project-index-every-skill-level-en","This ML project index covers every skill level","en",[42,48,54,60,66,72],{"id":43,"slug":44,"title":45,"cover_image":46,"image_url":46,"created_at":47,"category":13},"200777f4-9d68-4b6b-abb4-7bc15e7d6e78","openai-gov-partnerships-access-policy-zh","OpenAI把存取權做成政策","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783684998337-83za.png","2026-07-10T12:02:53.475221+00:00",{"id":49,"slug":50,"title":51,"cover_image":52,"image_url":52,"created_at":53,"category":13},"4e7f9fda-2104-4ed5-895c-5d21b78341fb","kubernetes-ai-assisted-maintainership-rules-zh","Kubernetes替AI維護劃規則","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783672388328-9fvp.png","2026-07-10T08:32:42.07423+00:00",{"id":55,"slug":56,"title":57,"cover_image":58,"image_url":58,"created_at":59,"category":13},"fe489684-cb2b-4bbf-8632-d38490fb7f48","byoa-vibe-coding-apps-only-path-zh","BYOA 才是 vibe coding 的正解","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783670583486-kf5y.png","2026-07-10T08:02:30.385787+00:00",{"id":61,"slug":62,"title":63,"cover_image":64,"image_url":64,"created_at":65,"category":13},"c7de2080-60bd-4c7e-b7dd-841217286f81","model-companies-are-eating-software-industry-zh","模型公司正在吃掉软件行业，应用层护城河正在塌陷","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783668784221-1pzn.png","2026-07-10T07:32:36.195659+00:00",{"id":67,"slug":68,"title":69,"cover_image":70,"image_url":70,"created_at":71,"category":13},"0254d671-ea12-452e-9d96-681f8cc68e92","entire-agent-git-network-ai-code-trust-zh","Entire 的 Git 網路把 AI 程式風險收緊了","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783645361520-n3d6.png","2026-07-10T01:02:19.835515+00:00",{"id":73,"slug":74,"title":75,"cover_image":76,"image_url":76,"created_at":77,"category":13},"b5112980-dea0-4e30-8fea-d5b49d64b637","openai-54-token-efficiency-ai-coding-battleground-zh","OpenAI 的 54% token 效率提升，才是 AI 寫碼真正戰場","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783643566365-if59.png","2026-07-10T00:32:20.466027+00:00",[79,84,89,94,99,104,109,114,119,124],{"id":80,"slug":81,"title":82,"created_at":83},"ee073da7-28b3-4752-a319-5a501459fb87","ai-in-2026-what-actually-matters-now-zh","2026 AI 真正重要的事","2026-03-26T07:09:12.008134+00:00",{"id":85,"slug":86,"title":87,"created_at":88},"83bd1795-8548-44c9-9a7e-de50a0923f71","trump-ai-framework-power-speech-state-preemption-zh","川普 AI 框架瞄準電力、言論與州權","2026-03-26T07:12:18.695466+00:00",{"id":90,"slug":91,"title":92,"created_at":93},"ea6be18b-c903-4e54-97b7-5f7447a612e0","nvidia-gtc-2026-big-ai-announcements-zh","NVIDIA GTC 2026 重點拆解","2026-03-26T07:14:26.62638+00:00",{"id":95,"slug":96,"title":97,"created_at":98},"4bcec76f-4c36-4daa-909f-54cd702f7c93","claude-users-spreading-out-and-getting-better-zh","Claude 用戶更分散，也更會用","2026-03-26T07:22:52.325888+00:00",{"id":100,"slug":101,"title":102,"created_at":103},"bd903b15-2473-4178-9789-b7557816e535","openclaw-raises-hard-question-for-ai-models-zh","OpenClaw 逼問 AI 模型價值","2026-03-26T07:24:54.707486+00:00",{"id":105,"slug":106,"title":107,"created_at":108},"eeac6b9e-ad9d-4831-8eec-8bba3f9bca6a","gap-google-gemini-checkout-fashion-search-zh","Gap 把結帳搬進 Gemini","2026-03-26T07:28:23.937768+00:00",{"id":110,"slug":111,"title":112,"created_at":113},"0740e53f-605d-4d57-8601-c10beb126f3c","google-pushes-gemini-transition-to-march-2026-zh","Google 把 Gemini 轉換延到 2026 年 3…","2026-03-26T07:30:12.825269+00:00",{"id":115,"slug":116,"title":117,"created_at":118},"e660d801-2421-4529-8fa9-86b82b066990","metas-llama-4-benchmark-scandal-gets-worse-zh","Meta Llama 4 分數風波又擴大","2026-03-26T07:34:21.156421+00:00",{"id":120,"slug":121,"title":122,"created_at":123},"183f9e7c-e143-40bb-a6d5-67ba84a3a8bc","accenture-mistral-ai-sovereign-enterprise-deal-zh","Accenture 攜手 Mistral AI 賣主權 AI","2026-03-26T07:38:14.818906+00:00",{"id":125,"slug":126,"title":127,"created_at":128},"191d9b1b-768a-478c-978c-dd7431a38149","mistral-ai-faces-its-hardest-year-yet-zh","Mistral AI 迎來最硬的一年","2026-03-26T07:40:23.716374+00:00"]