A practical guide to data science with BigQuery AI on Google Cloud

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With the help of BigQuery AI, data science teams are now able to automate routine tasks, use previously untapped unstructured data, and achieve new levels of efficiency right where their data lives. This guide helps you get started with data science workflows on Google Cloud and offers a range of real-world use cases (with code) for you to explore.

In this eBook, you will discover how to:

Establish a strong foundation: Learn the core principles of building a scalable and secure data science environment on Google Cloud.
Accelerate the machine learning lifecycle: Discover proven strategies to speed up data preparation, model training, and deployment.
Solve real-world use cases: Explore practical, hands-on use cases with code, including modernizing retail demand forecasting, assessing environmental risks, and identifying customer segments
Master modern tools: Get a practical walkthrough of BigQuery AI, Agent Platform, and other Google Cloud services designed to simplify and scale your data science projects.

A practical guide to data science and BigQuery AI

Download the practical guide today to start transforming your data science workflows with Google Cloud and BigQuery AI.