Time series models:
- ARIMA_PLUS
- ARIMA_PLUS_XREG
- Contribution analysis
Classification:
- Logistic regression
- Boosted tree classification
- Random forest classification
- Deep Neural network (DNN) classification
- Wide-and-deep classification
- AutoML classification
Regression:
- Linear regression
- Boosted tree regression
- Random forest regression
- Deep Neural network (DNN) regression
- Wide-and-deep regression
- AutoML regression
- Clustering: K-means
Recommendation: Matrix factorization
-- Dimensionality reduction:
- Principal component analysis (PCA)
- Autoencoder
Src: https://docs.cloud.google.com/bigquery/docs/create-machine-learning-model-console
