Posted by 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 Learning, Professor Thomas Dietterich.
Schedule
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
Comprehensive Machine Learning Toolbox for Everyone
by Abdelghani Khaldi, Mercedes-Benz Cars AG.
- Decision Engineering in a Big Organization
- Citizen Development in AI
by Jan W. Veldsink, Nyenrode.
Machine Learning in the Enterprise: Successful Use Cases
Machine Learning in Manufacturing
by Álvaro Clemente, BigML.
Process Optimization in Manufacturing Plants
by Keyanoush Razavidinani, A1 Digital.
Machine Learning for Public Safety: Reducing Violence and Discrimination in Stadiums
by Ramon van Ingen, Siip, and Pablo González, BigML.
How Machine Learning Transforms and Automates Legal Services
by Arnoud Engelfriet, Lynn Legal.
Improving Marksmanship with Machine Learning
by Francisco Martin, AccuShoot and BigML.
Machine Learning in Health Insurance
by Rob Florijn.
Data-Driven Companies
21 Lessons for Large Organizations to Create Value from AI
by Richard Benjamins, Telefónica and OdiseIA.
DAY 2 (July 5): Hands-on Machine Learning With a Special Focus on Anomaly Detection
Introduction to Machine Learning
History and Present Developments in Machine Learning
by Tom Dietterich, Oregon State University and BigML.
Introduction to End-to-End Machine Learning: Classification and Regression
by Mercè Martín, BigML.
Anomaly Detection in The Real World
Unsupervised Learning: Anomaly Detection
by jao (Jose A. Ortega), BigML.
Multi Perspective Anomalies
by Jan W Veldsink, Nyenrode.
Machine Learning for Fraud Detection
by Kevin Nagel, INFORM.
Workshops
Automating your Anomaly Detectors
by jao (Jose A. Ortega) and Mercè Martín, BigML.
Your First Anomaly Detector
by Mercè Martín, BigML.
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.
Get your ticket today!
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!
The Official Blog of BigML.com 