机器学习资源
使用集合让一切井井有条
根据您的偏好保存内容并对其进行分类。
机器学习开发需要使用各种不断发展的工具和框架。随着硬件技术的不断进步以及管道编排技术的不断发展,用于处理复杂数据类型的新机器学习工具不断涌现。
因此,公司、组织和团队会使用不同的工具和框架来实现机器学习解决方案,这些工具和框架可能会随时间而变化。
虽然常见框架和最佳实践不断涌现,但请注意,在某些情况下,您可能需要根据具体问题的性质采用自定义解决方案。以下部分提供了指向资源的链接,可帮助您开始学习机器学习和 AI 开发。
后续步骤
如需继续学习机器学习,请访问 developers.google.com/machine-learning 探索其他课程。
如未另行说明,那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可,并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情,请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
最后更新时间 (UTC):2025-07-27。
[null,null,["最后更新时间 (UTC):2025-07-27。"],[[["\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/)."]]