Lilly Tech Systems
AutoML & Automated Model Selection
Leverage AutoML platforms to automatically select, train, and tune machine learning models without extensive manual experimentation.
Course Lessons
Follow these lessons in order for the best learning experience, or jump to any topic you need.
1. AutoML Overview
Learn about automl overview in the context of automl & automated model selection. Hands-on examples and best practices.
2. Auto-sklearn and TPOT
Learn about auto-sklearn and tpot in the context of automl & automated model selection. Hands-on examples and best practices.
3. Google AutoML and Vertex AI
Learn about google automl and vertex ai in the context of automl & automated model selection. Hands-on examples and best practices.
4. Azure Automated ML
Learn about azure automated ml in the context of automl & automated model selection. Hands-on examples and best practices.
5. Neural Architecture Search
Learn about neural architecture search in the context of automl & automated model selection. Hands-on examples and best practices.
6. Hyperparameter Optimization
Learn about hyperparameter optimization in the context of automl & automated model selection. Hands-on examples and best practices.
7. When to Use AutoML
Learn about when to use automl in the context of automl & automated model selection. Hands-on examples and best practices.