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Automated Machine Learning (AutoML)
AutoML automates model selection, training, and tuning - enabling faster, more accessible machine learning with less manual effort.
Predictive Modeling & Machine Learning
AutoML platforms reduce the barrier to entry for machine learning by automating the heavy lifting: preprocessing, feature engineering, model selection, and hyperparameter tuning. We help businesses adopt AutoML to quickly generate models, benchmark results, and iterate without relying on large data science teams.
What we can do with it:
Set up AutoML platforms like Google Vertex AI, H2O.ai, or Azure AutoML.
Automatically test multiple model families for a problem.
Enable model explainability features out-of-the-box.
Automate preprocessing and feature selection workflows.
Integrate AutoML into CI/CD pipelines.
Benchmark AutoML models against manual baselines.
Visualize model performance and diagnostics.
Automate retraining schedules based on data drift.
Combine AutoML with business constraints or rules.
Provide no-code interfaces for business users to build models.