AutoML in Databases
Learn how to run Machine Learning models as Tables straight in the most popular databases using SQL. Follow detailed tutorials from install to interpreting results with Explainable AI features.
AutoML in Python
Explore how to create, train and test neural-networks-based Machine Learning models with no complex data science knowledge required. You have options to customize the model or query it in a fully automated way using a single query.
AutoML API
Need Machine Learning in your favourite programming language? No problem. MindsDB Server allows you to leverage all AutoML and explainability capabilities of MindsDB Stack using powerful REST API's.
AutoML Visualization Toolkit
Run AutoML models using an intuitive graphical user interface with almost no setup and coding overhead. Easily clean & validate your datasets, train AutoML models and run predictions using cloud-based (or local) server infrastructure. See how the model reached its conclusions with intuitive visualizations of Explainability Features.
AutoML Explainability Features
Explain and validate prediction results using unique MindsDB Explainability Features. Get insights into prediction accuracy scoring and dependencies in graphical user interface or in the code.
AutoML SDK
Build custom solutions with Machine Learning capabilities with a full control over your data using MindsDB Server. Automatically train neural-networks-based ML models and make predictions from your own software and provide explainable AI features to your business users using JavaScript or Python SDK.