機器學習資源
透過集合功能整理內容
你可以依據偏好儲存及分類內容。
機器學習開發作業需要使用各種不斷進化的工具和架構。隨著處理複雜資料類型的方式、硬體技術的進步,以及管道協調技術的持續發展,新的機器學習工具也不斷推出。
因此,企業、機構和團隊會使用不同的工具和架構導入機器學習解決方案,這些工具和架構可能會隨著時間而變更。
雖然常見的架構和最佳做法不斷出現,但請注意,在某些情況下,您可能需要為特定問題的性質採用自訂解決方案。以下各節提供機器學習和 AI 開發入門資源的連結。
後續步驟
如要繼續學習機器學習,請造訪 developers.google.com/machine-learning 查看其他課程。
除非另有註明,否則本頁面中的內容是採用創用 CC 姓名標示 4.0 授權,程式碼範例則為阿帕契 2.0 授權。詳情請參閱《Google Developers 網站政策》。Java 是 Oracle 和/或其關聯企業的註冊商標。
上次更新時間:2025-07-27 (世界標準時間)。
[null,null,["上次更新時間:2025-07-27 (世界標準時間)。"],[[["\u003cp\u003eMachine learning (ML) development involves the use of various evolving tools and frameworks, leading to diverse implementation approaches across different entities.\u003c/p\u003e\n"],["\u003cp\u003eWhile common practices are emerging in ML, custom solutions may be necessary depending on the specific problem.\u003c/p\u003e\n"],["\u003cp\u003eGoogle provides resources for ML development, including tools and frameworks, as well as a community for sharing models and datasets.\u003c/p\u003e\n"],["\u003cp\u003eFurther learning opportunities are available through Google's machine learning courses.\u003c/p\u003e\n"]]],[],null,["# ML resources\n\nML development requires using a variety of constantly\nevolving tools and frameworks. New ML tools continue to emerge as ways to handle\ncomplex data types, advances in hardware, and techniques for orchestrating\npipelines continue to develop.\nAs a result, companies, organizations, and teams implement ML solutions using different tools and frameworks, which likely change over time.\n\n\u003cbr /\u003e\n\nWhile common frameworks and best practices are emerging, keep in mind that the\nnature of your particular problem might require custom solutions in certain\ncases. The following sections provide links to resources for getting started\nwith ML and AI development.\n\n- Tools and frameworks for building ML and AI applications and products:\n\n - [developers.google.com/focus/ai-development](https://developers.google.com/focus/ai-development)\n - [ai.google/build](https://ai.google/build)\n- AI and ML community for sharing ML models and datasets:\n\n - [Kaggle](https://kaggle.com)\n\nWhat's next\n-----------\n\nContinue your ML education by exploring other courses at\n[developers.google.com/machine-learning](https://developers.google.com/machine-learning/)."]]