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.
Recommender system
This article contains reference solutions for deep-learning-based recommendation models.
Natural language processing
This article describes performing distributed training and inference for natural language processing applications.
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.