What is AutoML Tables?
AutoML Tables automatically builds machine learning models for structured tabular data. The service analyzes your data, detects column types, performs feature engineering and trains optimized models. No ML expertise or programming required: you upload data and receive a production-ready model.
Core Features
- Automatic Feature Engineering: Detection and transformation of numerical, categorical and time-based features
- Model Selection: Automatic evaluation of different algorithms and hyperparameters
- Explainability: Feature importance and local explanations for individual predictions
- BigQuery Integration: Training directly on BigQuery tables without data export
- Batch and Online Prediction: Flexible deployment options for different use cases
Typical Use Cases
Churn Prediction
Predict which customers are likely to cancel. The model learns from historical data and identifies at-risk customers for proactive measures.
Revenue Forecasting
Predict future revenue based on historical sales data, seasonality and external factors. Better planning for inventory and staffing.
Credit Risk Assessment
Classification of loan applications by default probability. The model learns from historical credit data and repayment behavior.
Benefits
- Production-ready models in hours instead of weeks
- No data science expertise required
- Automatic explainability for compliance requirements
- Seamless integration with BigQuery data
Integration with innFactory
As a Google Cloud Partner, innFactory supports you with AutoML Tables: data preparation, feature engineering strategy, model evaluation and integration into business processes. We help with the decision between AutoML, BigQuery ML and custom training.
Available Tiers & Options
AutoML
- Automatic feature engineering
- No ML knowledge required
- BigQuery integration
- Less control than custom training
Typical Use Cases
Technical Specifications
Frequently Asked Questions
What is AutoML Tables?
AutoML Tables is a service for automatically building ML models on structured data. The service analyzes your tabular data, performs feature engineering and trains optimized models without programming.
Which data sources are supported?
AutoML Tables supports BigQuery, Cloud Storage CSV files and direct uploads. BigQuery integration enables training on large datasets without data export.
How does AutoML Tables differ from BigQuery ML?
AutoML Tables provides automatic feature engineering and model selection. BigQuery ML requires more manual configuration but offers more control and SQL-based training directly in BigQuery.
Is AutoML Tables now part of Vertex AI?
Yes, AutoML Tables has been integrated into Vertex AI. The functionality is available under Vertex AI AutoML for tabular data.
