Speakers and Agenda! – The Official Blog of

We are excited to invite you to the second edition of our Machine Learning School in The Netherlands, on July 4-6, 2022, at Nyenrode Business Universitet!

Mercedes-Benz, Rabobank, Lynn Legal, Siip Group, among other companies, will present how Machine Learning has transformed their businesses by sharing real-world examples of ML applications. Additionally, you will be able to learn from one of the pioneers of the field of Machine LearningProfessor Thomas Dietterich.


Our program is designed to address the needs of different professional profiles chock-full of relevant business use cases in addition to core concepts and hands-on skill development. Meet below the distinguished speakers that will be presenting at the second editon of our #DutchMLSchool

DAY 1 (July 4): Machine Learning for Executives

Machine Learning Adoption for Businesses
Machine Learning in the Enterprise: Successful Use Cases
Data-Driven Companies

DAY 2 (July 5): Hands-on Machine Learning With a Special Focus on Anomaly Detection

Introduction to Machine Learning

Introduction to End-to-End Machine Learning: Classification and Regression
by Mercè MartínBigML.

Anomaly Detection in The Real World

DAY 3 (July 6): 1-To-1 Sessions

We will devote the third day of the Machine Learning School to help you solve your problems and answer any questions. As such, we will organize personalized sessions with those attendees that wish to discuss their specific cases with the leading Machine Learning experts. Attendees will be able to bring their own data.

This is an ideal event for business executives, innovators, leaders, industry practitioners, developers, graduate students, and advanced undergraduates to learn the essentials of Machine Learning, its impact across various business sectors, as well as the techniques that help transform your data into actionable insights. Attendees will be able to meet an international audience and speakers at the #DutchMLSchool during the networking breaks and drinks we offer after the sessions.

We look forward to your participation in the second edition of our Machine Learning School in The Netherlands!

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