Google为其BigQuery数据仓库新增对话式分析功能，允许企业数据团队和业务用户通过自然语言询问数据问题，从而加速AI用例的数据分析。该智能体目前处于预览阶段，可在BigQuery新增的智能体中心找到。此外，Google还推出了构建、部署和管理自定义智能体的工具，通过API端点支持跨应用和运营工作流。这些功能扩展了现有的文本转SQL能力，支持上下文对话分析。

The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.

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在数据分析的新时代，Stata与Python的结合为研究者提供了无限的可能性。今天，我们将深入探讨如何在Stata中设置Python集成，特别是为了使用双重机器学习（DDML）所需的步骤。无论你是数据科学新手还是资深分析师，这篇指南将帮助你顺利搭建起这座桥梁。

pystacked至少需要 Stata 16（或更高版本）、Python 安装（3.8 或更高版本）和 scikit-learn（0.24 或更高版本）。如果要使用ddml，则还应安装 Python。 StataCorp 在三个博客条目中提供了有关如何设置 Stata 的 Python 集成的详细说明：链接 1、链接 2、链接 3。 下面，我们简要 ...

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For fixing Windows errors, we recommend Fortect: Fortect will identify and deploy the correct fix for your Windows errors. Follow the 3 easy steps to get rid of ...

Developers are sharing stories related to concerning BigQuery pricing strategies, which charged multiple developers with a $5,000 bill for a single query. Blockchain developers are sharing “horror ...

AI has the power to transform how organizations derive insights, make decisions, and unlock value, but all that depends on the quality of the data. Most AI initiatives fail not because of algorithmic ...

Today’s digital age demands that businesses analyze huge volumes of data swiftly and seamlessly. For organizations using PostgreSQL as their operational database, integrating it with a powerful data ...