Reference solutions for machine learning

Databricks provides a rich collection of tools to help you develop machine learning applications. However, finding these tools and understanding how best to apply them to your machine learning problems can be difficult. The reference solutions provided on this page show detailed examples of how you can use Databricks for some common machine learning applications.

Image processing and computer vision

This article contains a reference solution for distributed image model inference based on a common setup shared by many real-world image applications.

• Image applications

Recommender system

This article contains reference solutions for deep-learning-based recommendation models.

• Train recommender models

Natural language processing

This article describes performing distributed training and inference for natural language processing applications.

• Natural language processing

Data labeling

Labeling additional training data is an important step for many machine learning workflows, such as classification or computer vision applications. Databricks does not directly support data labeling; however, the Databricks partnership with Labelbox simplifies the process.

See Partner Connect documentation for Labelbox.