Free AI Seminars: Cutting-Edge Research on Classification Trees, ML Methods, & Bilevel Games

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Join us for the upcoming machine learning and AI seminars happening in February 2024. In this edition, we have a lineup of insightful talks by esteemed speakers from top universities.

The seminars, organized by Machine Learning NeEDS Mathematical Optimization, are free to attend virtually. Here are the details of the three exciting talks:

1. Title: Learning Optimal Classification Trees Robust to Distribution Shifts
Speaker: Nathan Justin (University of Southern California)

2. Title: Can machine learning methods effectively model travel mode choice? Beyond predictive performance
Speaker: José Ángel Martín Baos (University of Castilla-La Mancha)

3. Title: Learning the Follower’s Objective Function in Sequential Bilevel Games
Speaker: Ioana Molan (Trier University)

These talks cover various aspects of machine learning and AI, providing valuable insights into the latest developments in the field. Whether you are a researcher, student, or AI enthusiast, these seminars offer a great opportunity to enhance your knowledge.

To attend these seminars, simply join us virtually at the designated time. The events are open for anyone to attend, and you don’t want to miss out on the valuable information and perspectives shared by our distinguished speakers.

We understand the importance of staying up to date with the latest advancements in AI and machine learning. That’s why we have compiled a list of past and forthcoming seminars for the year 2024. You can find all the information on our dedicated 2024 seminar page.

In addition to our seminars, we also provide a comprehensive list of universities and organizations that regularly host AI-related events. If you are interested in exploring more seminars and programs, visit our webpage for the complete list.

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To ensure our seminar list remains comprehensive, we welcome suggestions. If you know of any seminars, standalone or series, that we may have missed, please reach out to us via email. We appreciate your contribution to our growing community of AI enthusiasts.

Mark your calendars and get ready to delve into the exciting world of machine learning and AI. We look forward to your virtual presence at our upcoming seminars and hope you find great value in the knowledge shared by our esteemed speakers.

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Kunal Joshi
Kunal Joshi
Meet Kunal, our insightful writer and manager for the Machine Learning category. Kunal's expertise in machine learning algorithms and applications allows him to provide a deep understanding of this dynamic field. Through his articles, he explores the latest trends, algorithms, and real-world applications of machine learning, making it accessible to all.

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