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Hi <<Full Name>>,
The first edition of our Machine Learning Summer School in The Netherlands is getting closer, and today we are excited to announce new updates on the event taking place on July 8-11, 2019.
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Rabobank‘s recent experience in deploying a custom Machine Learning solution for fraud detection built on top of the BigML platform represents a good example of real-life use cases that will be covered during the event. Here is a video presented by the #DutchMLSchool Chairman and Master in the art of AI at Nyenrode, Rabobank, and Grio, Jan W. Veldsink, delving into their implementation approach, the early results, as well as how Rabobank has gone on to adopt Machine Learning across their organization.
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Adopting Machine Learning at Scale, Rabobank
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Are you using BigML for fraud detection or anti-money laundering? We would like to invite you to a BigML summit to share your insights with other BigML customers in the compliance, investigations, internal affairs, and security departments of leading multinational companies. Please contact us at events@bigml.com if you are interested and we will get back to you with further details.
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Professor Tom Dietterich is one of the founders of the field of Machine Learning and BigML’s Chief Scientist. Professor Dietterich’s historical perspective on the evolution and the current state of Machine Learning is unmatched, so the #DutchMLSchool audience will be treated to quite a journey regarding the most salient topics in both applied research and advances in various industry verticals.
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The first Summer School in Machine Learning brought to The Netherlands is co-organized by BigML and Nyenrode Business Universiteit and will offer four days full of master classes, real-world use cases, practical workshops, international networking and much more! The event is designed to satisfy several professional profiles. You are welcome to join the full four days or only the courses you find most interesting: |
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Machine Learning for Executives | JULY 8 (DAY 1)
A C-level course to understand how Machine Learning can be adopted in any organization, focusing on the strategy to follow as well as the key points that managers should know when making decisions.
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MAIN EVENT. Introduction to Machine Learning | JULY 9-10 (DAYS 2-3)
A two-day crash course designed for business innovators, industry practitioners, and students, seeking a quick and practical introduction to Machine Learning to solve real-world problems.
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Working with the masters | JULY 11 (DAY 4)
A full day of learning with the Machine Learning masters that helps put theoretical concepts into practice in a hands-on manner. Attendees will be able to work on their own data.
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