aibangjuxin/knowledge/bigquery-ai-ml

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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 ch…

Install

npx vskill@latest install aibangjuxin/knowledge/bigquery-ai-ml

SKILL.md

The same SKILL.md was published earlier as google/skills/bigquery-ai-ml.

BigQuery AI & ML

BigQuery integrates with Vertex AI to provide powerful machine learning and generative AI capabilities directly within SQL queries using built-in functions like AI.FORECAST, AI.KEY_DRIVERS, AI.DETECT_ANOMALIES, and AI.GENERATE.

Reference Directory

  • Functions Reference:

aggregation and summarization.

  • AI.CAUSAL_EFFECT:

ai_causal_effect.md - Quantifies the impact of an intervention on a time series.

text.

  • AI.DETECT_ANOMALIES:

ai_detect_anomalies.md - Detect anomalies.

models.

Time-series forecasting.

text using LLMs.

  • AI.GENERATE_EMBEDDING:

ai_generate_embedding.md - Generate embeddings.

  • AI.GENERATE_TABLE:

ai_generate_table.md - Table-valued AI generation.

conditions.

Identifies key drivers, this is a TVF.

search.

Semantic similarity.

Working with remote models (Vertex AI).

  • CONTRIBUTION_ANALYSIS:

ml_contribution_analysis.md

  • Finds contributing factors, key drivers of change. Requires creating

a MODEL entity.

Calculates correlation between columns, optionally sliced by dimensions.

  • ML.DETECT_CHANGE_POINTS:

ml_detect_change_points.md - Detects structural breaks or sustained shifts in a time series.

Extracts seasonal components from a time series.

long-term trend component from a time series.

Vector search best practices.

Related Skills

concepts, resource management, CLI, and client libraries.

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