2nd AutoML Fall School 2022 in Freiburg, Germany

Automated Machine Learning (AutoML) is relevant for recommender systems as AutoML is concerned with the automatic selection and tuning of algorithms; a topic of crucial importance for recommender systems.

Hence, it is nice to see that there is a second edition of the AutoML Fall School, this year in Freiburg. It takes place from Oct. 10-13th, and the early bird registration (220€ for students) ends today, though registrations will also be possible later, too. Also, scholarships are available.

The program is packed with interesting lectures, one given by myself ;-).

By increasing the efficiency of ML-application development and supporting users in crucial design decisions, AutoML became a key approach in the toolkit of many developers and researchers. Although there is an exponentially growing interest in AutoML, AutoML is so far only rarely taught at universities and there is a large gap between the current state of the art in research and disseminated knowledge. The AutoML Fall School will cover core topics of AutoML, covering basics, state-of-the-art approaches and hands-on sessions. Enthusiastic AutoML experts will present their diverse views on AutoML to ML practitioners, developers, research engineers, researchers and students.

The AutoML Fall School in Freiburg is an educational event that aims to provide PhD and Master students with an in-depth understanding of the field of Automated Machine Learning (AutoML). The fall school will be held in October 2022 in Freiburg, Germany, and is organized by the University of Freiburg. The school is designed to be intensive and interactive, with a combination of lectures, hands-on tutorials, and group activities.

AutoML is a subfield of machine learning that aims to automate the process of building and tuning machine learning models. This includes tasks such as selecting appropriate algorithms, optimizing hyperparameters, and preprocessing data. AutoML has gained significant attention in recent years as it has the potential to make machine learning more accessible to a wider range of users and organizations, without the need for specialized expertise.

Attending the AutoML Fall School in Freiburg may be beneficial for PhD and Master students in several ways. Firstly, the school provides an opportunity to learn from leading experts in the field and to gain an in-depth understanding of the latest advances in AutoML. Additionally, the hands-on tutorials and group activities provide an opportunity for students to apply what they have learned and to work on real-world problems. Furthermore, the school provides an opportunity to network with other students and researchers in the field, which can be valuable for future collaborations and job opportunities.

Freiburg is a city in the south-west of Germany, in the region of Baden-Württemberg. The city is known for its historical and cultural landmarks, such as the Freiburg Minster and the Schwabentor gate. Freiburg is also a university town, and it is home to the University of Freiburg, which is one of the oldest and most prestigious universities in Germany. The city also boasts a vibrant food and drinking scene, with many restaurants and bars serving traditional German cuisine.

Getting to Freiburg is relatively easy. The city has its own international airport, EuroAirport Basel-Mulhouse-Freiburg, which offers direct flights to several destinations around Europe. From the airport, it is also easy to get to the city center by bus or train. It is also possible to reach the city by train from other German cities like Frankfurt, Stuttgart and Karlsruhe. Additionally, Freiburg is well connected by public transportation with the rest of the region, making it easy to explore the surrounding area.

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