Wednesday, August 14th
WeWork @ Funan
109 North Bridge Rd Level 5
Singapore, 179097
WeWork @ Funan
109 North Bridge Rd Level 5
Every enterprise today wants to accelerate innovation by building AI into their business. However, most companies struggle with preparing large datasets for analytics, managing the proliferation of ML frameworks, and moving models in development to production.
In this workshop, we’ll cover:
- Best practices for enterprises to use powerful open source technologies to simplify and scale your ML efforts.
- Deeper insight into Apache Spark and Databricks, including the latest updates with Delta Lake
- How to leverage Apache Spark™, the de-facto data processing and analytics engine in enterprises today, for data preparation as it unifies data at massive scale across various sources.
- How to train a model against data and learn best practices for working with ML frameworks (i.e. - XGBoost, Scikit-Learn, etc.).
- How to use MLflow to track experiment runs between multiple users within a reproducible environment, and manage the deployment of models to production.
Join this half-day workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts, as well as network and learn from your ML and Apache Spark peers.
AGENDA AT A GLANCE
1:30-2:00 Registration & Networking
2:00-2:15 Welcome - Unifying Data Science and Data Engineering
2:15-3:15 Customer Use Case presentation
3:15-4:45 Interactive Demo & Best Practices
4:45-5:00 Q&A
2:00-2:15 Welcome - Unifying Data Science and Data Engineering
2:15-3:15 Customer Use Case presentation
3:15-4:45 Interactive Demo & Best Practices
4:45-5:00 Q&A
Space is limited for this event. Sign up today to reserve your spot!