Azure Databricks Learning Series (Part 3)

Turbocharge your business with machine learning

** This session will be conducted in Mandarin **

Machine learning enables organizations to make more informed decisions and predictions at record speed. Cloud computing enables you to tap into a wider variety of data sources to improve the accuracy and speed of these predictions. Join Databricks and Microsoft for this hands-on lab to learn how to leverage Azure best practices for implementing a complete data science lifecycle, enabling data teams to scale effectively using Azure Databricks, MLflow and Azure Machine Learning.

Part 3 – What you’ll learn:

• Services and platforms available for machine learning workloads on Azure
• Recommendations on machine learning platform selection based on workload types
• How to track your model training on Azure Databricks

Don't overlook the opportunity to finish the full learning series below:
Part 1 - Fundamental concepts of building a data lakehouse
Part 2 - Data Engineering Bootcamp: Build a reliable and scalable modern data architecture

Led by Databricks and Microsoft experts using real-world data sets, you’ll learn how to leverage your data lake for powerful analytics insights, and get access to the best practices for implementing a complete data science lifecycle, enabling your data teams to scale effectively.

Who should join: Data professionals across data engineering, data science, machine learning, data platform, and business analytics.

Event Sponsor: Databricks (Databricks Privacy Policy)
Event Co-Sponsor: Microsoft Corporation (Microsoft Privacy Statement)