Data Science on GCP

Exploring large amounts of data and performing ML-related tasks at scale with Jupyter Notebooks and Spark can require significant time spent time setting up your environments – time that could be spent exploring interesting datasets and delivering better insights for Business Intelligence. In this session, learn how Vertex AI and GCP data services can help you build production-grade models to transform your data science approach. Analyze datasets, experiment with different modeling techniques, deploy trained models into production, and manage MLOps through the model lifecycle.