# AutoML Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/automl
> Markdown URL: https://aitinkerers.org/technologies/automl.md
> Technology record last updated: 2026-04-13T07:36:19Z
> Generated: 2026-09-22T20:43:24Z

AutoML (Automated Machine Learning) automates the end-to-end ML pipeline: delivering optimized, production-ready models from raw data with minimal human intervention.

AutoML is a critical technology for democratizing data science, drastically accelerating the model development lifecycle. It systematically automates complex, iterative tasks like feature engineering, model selection, and hyperparameter tuning (HPO). For example, a system will automatically search for the best algorithm—from linear models to advanced Neural Architecture Search (NAS)—and tune parameters like learning rates to maximize a target metric. Major platforms like Microsoft Azure Machine Learning and H2O.ai's Driverless AI leverage this to deliver high-performing models for tasks such as fraud detection and sentiment analysis faster than manual methods.

- Official technology site: https://learn.microsoft.com/en-us/azure/machine-learning/concept-automated-ml
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Genetic Algorithms for AutoML](https://medellin.aitinkerers.org/talks/rsvp_FeI6wXfzC7k)

AutoML is a set of strategies to optimize the process of building machine learning models, common patterns include feature preprocessing, selection, and hyperparameter tuning. Explore the ideas and code behind metaheuristics to build your AutoML pipeline using sklearn-genetic-opt, an open-source library.

- Event context: AI Tinkerers Medellín #2 - 23 de Mayo — 2024-05-23 — Medellín
- Public talk page: https://medellin.aitinkerers.org/talks/rsvp_FeI6wXfzC7k

## Related Technologies

- [Genetic Algorithms](https://aitinkerers.org/technologies/genetic-algorithms) ([Markdown](https://aitinkerers.org/technologies/genetic-algorithms.md)) — 1 public demo
- [metaheuristics](https://aitinkerers.org/technologies/metaheuristics) ([Markdown](https://aitinkerers.org/technologies/metaheuristics.md)) — 1 public demo
- [scikit-learn](https://aitinkerers.org/technologies/scikit-learn) ([Markdown](https://aitinkerers.org/technologies/scikit-learn.md)) — 84 public demos
- [sklearn-genetic-opt](https://aitinkerers.org/technologies/sklearn-genetic-opt) ([Markdown](https://aitinkerers.org/technologies/sklearn-genetic-opt.md)) — 1 public demo