Machine Learning Model Cheatsheet
In BigQuery ML, you can use a model with data from multiple BigQuery Datasets for training and for prediction.
| Task | Examples | ML Models |
|---|---|---|
| Predict values | 1. Predict sales figures 2. Predict stock prices |
1. Linear Regression 2. Boosted Trees Regressor 3. AutoML Table Regressor 4. DNN Regressor 5. Wide & Deep Regressor |
| Predict between categories |
1. Identify spam emails 2. Identify tumour types |
1. Logistic Regression 2. Boosted Trees Classifier 3. AutoML Table Classifier 4. DNN Classifier 5. Wide & Deep Classifier |
| Generate recommendations |
1. Product recommendations 2. Create personalised content |
1. Wide & Deep Classifier 2. Matrix Factorisation |
| Reduce data dimensionality |
1. Analysis of written text 2. Analysis of DNA data |
1. PCA 2. Autoencoder |
| Find anomalies | 1. Detect fraud 2. Predict credit risk |
1. PCA 2. Autoencoder 3. K-Means 4. ARIMA-PLUS |
| Group data into clusters |
1. Perform customer segmentation |
1. K-Means |
| Time series forecasting |
1. Predict housing prices based on historical data |
1. ARIMA-PLUS |
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