
Bigquery Ai Ml
作者 google55b4e13eba6d无许可证21K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库今天更新
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector search, classify text, calculate similarity, summarize content, translate language, evaluate models, filter by semantic conditions, measure the causal effect of an intervention, compute correlations between columns, detect change points or structural breaks, extract trend or seasonality components, or leverage generative AI capabilities in BigQuery. Do not use for general BigQuery dataset, table, or job management requests.
仅公开文件列表。将技能安装到工作区后即可查看文件内容。
| 路径 | 大小 | 类型 |
|---|---|---|
| references/ai_agg.md | 3.5 KB | text/markdown |
| references/ai_causal_effect.md | 11.2 KB | text/markdown |
| references/ai_classify.md | 3.7 KB | text/markdown |
| references/ai_detect_anomalies.md | 3.7 KB | text/markdown |
| references/ai_evaluate.md | 2.2 KB | text/markdown |
| references/ai_forecast.md | 4.4 KB | text/markdown |
| references/ai_generate_embedding.md | 1.6 KB | text/markdown |
| references/ai_generate.md | 2.8 KB | text/markdown |
| references/ai_generate_table.md | 2.9 KB | text/markdown |
| references/ai_if.md | 2 KB | text/markdown |
| references/ai_key_drivers.md | 4.5 KB | text/markdown |
| references/ai_score.md | 1.9 KB | text/markdown |
| references/ai_search.md | 3.7 KB | text/markdown |
| references/ai_similarity.md | 2.7 KB | text/markdown |
| references/ml_contribution_analysis.md | 4.8 KB | text/markdown |
| references/ml_correlation.md | 8.9 KB | text/markdown |
| references/ml_detect_change_points.md | 5.5 KB | text/markdown |
| references/ml_seasonality.md | 6.6 KB | text/markdown |
| references/ml_trend.md | 4.1 KB | text/markdown |
| references/remote_models.md | 872 B | text/markdown |
| references/vector_search.md | 4 KB | text/markdown |
| SKILL.md | 3.8 KB | text/markdown |
来源与署名
来源:google/skills位于skills/cloud/bigquery-ai-ml提交55b4e13
许可证: 无许可证
内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。
更多来自 google/skills 的技能

Dpop Adoption
指导为 Google OAuth 平台实现 OAuth 2.0 DPoP(RFC 9449)发送方约束刷新令牌。

Finding Google Skills
Google platform decision and setup guidance, loaded on demand from Google's skill catalog. Use when a developer is choosing or setting up part of their stack, such as where to run a service, a database, storage, messaging, authentication, analytics, ads, or AI model serving, and a Google product is a reasonable candidate - whether or not a vendor is named - or when a request names a Google product or API. Brings in the matching Google skill so the answer can weigh Google options, their trade-offs, and when they are not the right fit. Skip when the stack is already settled on another provider and no Google product is named, or the task involves no platform choice.

Spanner Basics
指导 Google Cloud Spanner 的实例与数据库管理、架构设计、查询和性能诊断。

Secops Triage
指导 SOC 分析师对 Google SecOps 安全告警进行分诊,从调查到关闭或升级。

Secops Investigate
指导 SOC 分析师在 Google SecOps 中使用 UDM 查询和时间线进行深入的安全事件与实体调查。

Secops Hunt
指导在 Google SecOps 中使用 UDM 查询、IoC 回溯、普遍性与异常分析进行主动威胁狩猎。
更多Data & Analytics技能

Gke Cost Analysis
使用 BigQuery 账单导出数据和实时集群指标,回答关于 GKE 集群与工作负载成本的自然语言问题。

Datalineage Bigquery Asset Impact Analysis
指导智能体使用数据血缘对 BigQuery 表或视图进行下游影响(爆炸半径)分析。

Bigquery Troubleshooting
通过结构化根因工作流诊断失败、缓慢或费用异常的 BigQuery 作业。

Bigquery Optimization
指导 BigQuery 在容量版本、存储布局和 SQL 查询方面的成本与性能优化。

Bigquery Bigframes
指导使用 BigQuery DataFrames(BigFrames)编写 Python 代码,用于数据处理、分析和机器学习。

Google Analytics Data Api Basics
指导设置并使用 Google Analytics Data API v1beta 来运行报告查询。