Train AI and ML models

This section shows you how to train machine learning and AI models on Mosaic AI.

AutoML

AutoML simplifies the process of applying machine learning to your datasets by automatically finding the best algorithm and hyperparameter configuration for you. AutoML offers a no-code UI as well as a Python API.

Open source library examples

See machine learning training examples from a wide variety of open source machine learning libraries, including hyperparameter tuning examples using Optuna and Hyperopt.

Deep learning

See examples and best practices for distributed deep learning training so you can develop and fine-tune deep learning models on Databricks.

Recommenders

Learn how to train deep-learning-based recommendation models on Databricks. Compared to traditional recommendation models, deep learning models can achieve higher quality results and scale to larger amounts of data.