Summary
BQML is a powerful tool for data scientists and analysts who want to train ML models with ease while using a low-code option to build and deploy models in GCP. With BQML, users can leverage the power of BigQuery to quickly and easily create models without needing to write complex code.
In this chapter, we explored the features and benefits of BQML. We saw how it provides a simple and intuitive interface for training models using SQL queries. We also explored some of the key features of BQML, including the ability to perform data preprocessing and feature engineering directly within BigQuery, as well as the ability to evaluate model performance through native evaluation functions.
One of the key advantages of BQML is its integration with BigQuery, which makes it easy to scale and manage large datasets. This makes it a great option for companies and organizations that are dealing with massive amounts of data and need to quickly build and deploy models.
Another advantage...
