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Machine Learning with SQL

📊 BigQuery ML & Data AI 10m 200 BASE XP

Bringing the Model to the Data

Moving petabytes of data out of your data warehouse to train a model is slow, expensive, and insecure. BigQuery ML (BQML) solves this by allowing you to train ML models directly inside BigQuery using standard SQL.

CREATE MODEL `my_dataset.churn_model`
OPTIONS(model_type='logistic_reg') AS
SELECT * FROM `my_dataset.customer_data`;

You can train linear regression, k-means clustering, and even deep neural networks without ever leaving the database.

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What is the primary advantage of BigQuery ML?
It uses a proprietary Python library
It allows you to train models directly inside the data warehouse using SQL, avoiding data movement
It creates relational databases automatically
It is exclusively for image classification
Watch: 139x Rust Speedup
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