Low-Code Machine Learning on Databricks with AutoML

Discover how to leverage Databricks AutoML and other low-code tools for building, training, and deploying machine learning models in production in this 34-minute video. Learn about Databricks' unique glass-box approach, allowing users to access and modify the underlying code for fine-tuning performance and integrating into production systems. Explore features such as the Machine Learning Tab, Experiments Tab, Advanced Configuration, Data Exploration Notebook, and Model Registry. Gain insights into batch inference and how these tools lower the barrier of entry for domain experts and analysts to build ML solutions. Witness these capabilities in action and understand how Databricks empowers users with varying levels of expertise to create effective ML solutions for predictive analytics across organizations.

Intro
Personal Story
Hurdles
Tools
Bamboo Live
Machine Learning Tab
Experiments Tab
Advanced Configuration
Data Exploration Notebook
Best Notebook
Best Model Run
Model Registry
Inference
Batch inference
Lower the barrier of entry
Recap
Questions