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Discover how to streamline machine learning pipeline development using Auto-sklearn in this 45-minute EuroPython 2021 conference talk. Learn about Automated Machine Learning (AutoML) and its potential to make machine learning more accessible. Explore the inner workings of Auto-sklearn, a popular open-source library developed by the ML Lab at the University of Freiburg, and understand how it serves as a drop-in replacement for scikit-learn estimators. Gain insights into efficient hyperparameter optimization algorithms and full AutoML implementation. Suitable for data scientists and domain experts with basic understanding of machine learning pipelines in scikit-learn and Python, this talk covers AutoML applications, Auto-sklearn functionality, and practical usage tips to enhance your machine learning workflow.
