Machine Learning is enabling a transformation in the software industry without precedents. New Machine Learning powered predictive applications are performing jobs that were previously considered exclusive to highly skilled humans. We are already witnessing a new wave of innovation that is changing the face of all sectors of the economy. To address this market need, BigML in collaboration with Nyenrode Business University in The Netherlands are bringing the second Dutch edition of our Summer School in Machine Learning to The Netherlands.
Chief Technology Officer at INFORM
The four-day event will provide a jam-packed curriculum for different professional profiles.
A C-level course on Machine Learning, ideal for business leaders and senior executives in all industries. Attendees will be able 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. Additionally, we will see several real-world success stories presented by companies that are currently applying Machine Learning techniques.
The main conference will be a two-day crash course designed for business innovators, industry practitioners, as well as students, seeking a quick, practical, and hands-on introduction to Machine Learning to solve real-world problems. The content presented during these two days will serve as a good introduction to the kind of work that students can expect if they enroll in advanced Machine Learning and AI Masters. Both lectures and Key-Notes on the subjects of Machine learning and implementation, look at the schedule for more details.
A day long experiential learning with the Machine Learning masters to put theoretical concepts into practice in a hands-on manner. This course is tailored for experienced business analysts, data scientists, and Machine Learning practitioners that wish to work on real-world data and real cases; a unique opportunity to work with leading Machine Learning experts. Attendees will be able to bring their own data.