A practical guide to data science with Google Cloud
In this eBook, you will discover how to:
- Streamline your workflows: Learn to build end-to-end data science pipelines on a unified and intelligent data platform, breaking down silos between data and AI
- Embrace AI: See how to use generative AI for vector search and multimodal analysis and use agentic AI for automating tedious tasks
- 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, Vertex AI, and other Google Cloud services designed to simplify and scale your data science projects
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