Machine Learning Summer School in The Netherlands

Breukelen, The Netherlands

Due to the uncertainty surrounding the COVID-19 pandemic, we are currently re-evaluating our options for the best dates for this event. BigML and Nyenrode Business University intend to hold the Machine Learning School in The Netherlands as soon as it can be done safely and with no quarantine required for any attendees joining from different countries. We will announce the new dates as soon as possible.

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.

Comment about the Machine Learning Summer School using #DutchMLSchool

Chairman

Jan W. Veldsink

Master in the art of AI at Nyenrode, Rabobank, and Grio

Lecturers

Enrique Dans, Ph.D.

Senior Advisor for Innovation and Digital Transformation at IE University

Tom Dietterich, Ph.D.

Co-Founder and Chief Scientist at BigML

Ulrich Dorndorf, Ph.D.

Chief Technology Officer at INFORM

Chris Kakkanatt

Data Science Senior Director/Team Leader at Pfizer

Francisco J. Martin, Ph.D.

Co-Founder and CEO at BigML

Mercè Martín Prats, Ph.D.

VP of Insights and Applications at BigML

jao, Ph.D.

Co-Founder and Chief Technology Officer at BigML

Charles Parker, Ph.D.

VP of Machine Learning Algorithms at BigML

Mykola Pechnisky

Full Professor at Eindhoven University of Technology

Poul Petersen, M.Sc.

Chief Infrastructure Officer at BigML

Michael Skiba, Ph.D.

VP of Counter Fraud Strategies at INFORM

Jeroen van der Velden, Ph.D.

Associate Professor Strategy and Director Center for SOL at Nyenrode

Schedule of Lectures

The goal of this Machine Learning School is to introduce basic as well as more advanced Machine Learning concepts and techniques that will help you boost your productivity significantly. All lectures will take place at Nyenrode Business Universiteit.

Day 1

Machine Learning for Executives

08:30 AM - 09:00 AM
Registration, Coffee, and Networking
09:00 AM - 09:30 AM
Opening Remarks
09:30 AM - 10:30 AM
Machine Learning and Artificial Intelligence: Why Now?
by Francisco Martin, BigML.
10:30 AM - 11:00 AM
Coffee Break
11:00 AM - 12:00 PM
Machine Learning for Fraud Detection
12:00 PM - 12:30 PM
Machine Learning: Practice What You Preach
12:30 PM - 01:30 PM
Lunch Break
01:30 PM - 02:30 PM
What is Machine Learning: A Business Perspective
02:30 PM - 03:00 PM
Hybrid AI
03:00 PM - 03:30 PM
Coffee Break
03:30 PM - 04:30 PM
History and Present Developments in ML / AI
by Tom Dietterich, BigML.
04:30 PM - 05:00 PM
Closing Remarks
05:00 PM - 06:00 PM
Free Time and Drinks
06:00 PM - 09:00 PM
Dinner

Day 2

Main Conference: Introduction to Machine Learning

08:30 AM - 09:00 AM
Registration, Coffee, and Networking
09:00 AM - 09:30 AM
Opening Remarks
09:30 AM - 10:15 AM
Machine Learning and Best Indicator Model in Logistics
by Ulrich Dorndorf, INFORM.
10:15 AM - 11:00 AM
Introduction to End-to-End Machine Learning
by Poul Petersen, BigML.
11:00 AM - 11:30 AM
Coffee Break and Networking
11:30 AM - 12:30 PM
Trustworthy AI: Robustness, Fairness and Explainability
12:30 PM - 01:30 PM
Lunch and Networking
01:30 PM - 02:00 PM
Daimler-Benz Use Case
by Francisco Martin, BigML.
02:00 PM - 03:00 PM
Supervised Learning I: Introduction to Machine Learning, Models, Evaluations, and Ensembles
by Poul Petersen, BigML.
03:00 PM - 03:30 PM
Coffee Break and Networking
03:30 PM - 04:30 PM
Supervised Learning II: Logistic Regression, Deepnets, and Time Series
by Charles Parker, BigML.
04:30 PM - 05:30 PM
Digital Strategy and AI
05:30 PM - 06:15 PM
Drinks and Networking

Day 3

Main Conference: Introduction to Machine Learning

08:30 AM - 09:00 AM
Coffee and Networking
09:00 AM - 09:45 AM
Human-in-the-Loop Machine Learning: Improving on Anomaly Detection
by Tom Dietterich, BigML.
09:45 AM - 10:45 AM
Unsupervised Learning I: Clusters and Anomalies
by Poul Petersen, BigML.
10:45 AM - 11:15 AM
Coffee Break and Networking
11:15 AM - 12:30 PM
Unsupervised Learning II: Associations and Topic Modeling
by Charles Parker, BigML.
12:30 PM - 01:30 PM
Lunch and Networking
01:30 PM - 02:30 PM
Adopting Machine Learning at Scale and Decision Engineering
02:30 PM - 03:30 PM
Enhancing and Automating Decision Making with Machine Learning
by Poul Petersen, BigML.
03:30 PM - 04:00 PM
Coffee Break and Networking
04:00 PM - 05:00 PM
Fraud Perspective
05:00 PM - 05:15 PM
Closing Remarks
05:15 PM - 06:00 PM
Drinks with the Speakers

Day 4

Working with the Masters

08:30 AM - 09:00 AM
Registration, Coffee, and Networking
09:00 AM - 10:00 AM
Advanced Machine Learning Patterns
by Poul Petersen, BigML.
10:00 AM - 11:00 AM
Automating your own Machine Learning Projects
11:00 AM - 11:30 AM
Coffee Break and Networking
11:30 AM - 01:00 PM
Your first BigML Project
01:00 PM - 02:00 PM
Lunch break and Networking
02:00 PM - 04:00 PM
Bring your Data and Build your Model with the Help of the Masters
by Charles Parker, BigML.
04:00 PM - 04:15 PM
Enhancing and Automating Decision Making with Machine Learning
04:15 PM - 04:45 PM
Coffee Break and Networking
04:45 PM - 05:00 PM
Closing Remarks
05:00 PM - 05:45 PM
Drinks with the Masters

Attendees and Tickets

The four-day event will provide a jam-packed curriculum for different professional profiles. Tickets will be available for sale when we announce the official event dates.

Day 1 Machine Learning for Executives

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.

Both tickets include access to all sessions, coffee and lunch breaks, as well as the Conference dinner after the executives crash course.
Days 2 and 3 Introduction to Machine Learning

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.

Both tickets include access to all sessions, coffee and lunch breaks, as well as the drinks to meet the speakers at the end of the event.
Day 4 Working with the Masters

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.

Both tickets include access to all sessions, coffee and lunch breaks, as well as the drinks to meet the masters at the end of the workshops.
4 days Full package
Both tickets include access to all sessions, from day 1 to day 4, coffee and lunch breaks, the Conference dinner with on day 1, as well as the drinks to meet the masters at the end of the main conference and workshops.

Venue

Nyenrode Business Universiteit Straatweg 25, 3621 BG Breukelen, The Netherlands.

How to Arrive

Co-organized by:

BigML Nyenrode Business University

In collaboration with

Inform EOI - Escuela de Organizacion Industrial