Machine Learning School Seville

Virtual Conference

March 26-27, 2020

Due to the COVID-19 pandemic, we have converted this event to a Virtual Conference. Please read this post for more details.

Machine Learning is transforming many industries while enabling new types of products and services nobody even dreamed of until recently. However, the skill set required to develop real-life Machine Learning applications have mostly remained the playground of the few privileged academics and scientists. The world and the global workforce cannot afford to stay behind the curve on this key technology enabler, so we urgently need to produce a much larger group of ML-literate professionals such as developers, analysts, managers, and subject matter experts.

To meaningfully contribute on this matter, BigML is bringing the second edition of our Machine Learning School to Seville. We will hold a two-day crash course ideal for business leaders, industry practitioners, advanced undergraduates, as well as graduate students, seeking a quick, practical, and hands-on introduction to Machine Learning to solve real-world problems. This Machine Learning School will serve as a good introduction to the kind of work that students can expect if they enroll in advanced Machine Learning masters.

Comment about the Machine Learning School using #MLSEV

MLSEV Video Recordings


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

Guillem Vidal

Machine Learning Engineer at BigML


Juan Ignacio de Arcos

VP Business Development at BigML


Tom Dietterich, Ph.D.

Co-Founder and Chief Scientist at BigML, Director of Intelligent Systems Research at Oregon State University

José Cárdenas Lafuente

Manager Technical Services at Indorama

Francis Cepero

Director Vertical Market Solutions at A1 Digital

Enrique Dans, Ph.D.

Senior Advisor for Innovation and Digital Transformation at IE University

Ed Fernández

Board Director at Arowana

Andrés González

CTO & Cofounder at

Kevin Nagel

Consultant / Data Scientist at INFORM

Roy Prayikulam

Senior Vice President Risk & Fraud at INFORM

Guillem Ràfales

Construction Management Product Leader at Sener

Michael Skiba, Ph.D.

International Economic Crime Expert at Dr. Fraud

Delio Tolivia

Technical Manager of R&D&I Projects at Talento Transformación Digital

Jan W. Veldsink

Lead Artificial Intelligence and Machine Learning Compliance Domain at Rabobank

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 online webinar from 9:00 to 18:30 CET during March 26 and 27, 2020.

About Meet the Speakers

Registered users will receive an email from with links for every Google Hangouts session. Enjoy whichever you are interested in, but remember, there will be only 100 spots for each one!

About Genius Bar

If you or your company are interested in a 30 minutes one-to-one meeting with a BigML expert during the MLSEV, ask for a booking through

Day 1

09:00 - 09:30 CET
Opening Remarks
by Atakan Cetinsoy (BigML)
09:30 - 10:15 CET
What is Machine Learning: A Business Perspective
10:15 - 11:00 CET
ML platformization and AutoML in the Enterprise
11:00 - 11:30 CET
Room A - Open questions (limited 100 attendees)
Room B - Open questions (limited 100 attendees)
Room C - Open questions (limited 100 attendees)
Room D - Open questions (limited 100 attendees)
11:30 - 12:00 CET
One Platform to Rule them All
12:00 - 12:30 CET
Optimization of passengers waiting time in elevators using ML
12:30 - 13:00 CET
Applying Topic Modelling to improve Operations
13:00 - 14:00 CET
Supervised vs Unsupervised Learning techniques
14:00 - 15:00 CET
Break Time
15:00 - 15:45 CET
State of the Art in ML
15:45 - 16:30 CET
Evaluating models
16:30 - 17:00 CET
Room A - Open questions (limited 100 attendees)
by Tom Dietterich (BigML)
Room B - Open questions (limited 100 attendees)
by Mercè Martín (BigML)
Room C - Open questions (limited 100 attendees)
Room D - Open questions (limited 100 attendees)
17:00 - 17:30 CET
Automating Model Selection
17:30 - 18:30 CET
My first BigML Project

Day 2

09:00 - 09:05 CET
Opening Remarks
09:05 - 09:30 CET
Anomalies in oil temperature variations in a TBM
09:30 - 10:00 CET
Applying Classification and Regression to Quality Optimization
10:00 - 11:00 CET
Benefits of using ML to monitor your Low Risk Customers
11:00 - 11:30 CET
Room A - Open questions (limited 100 attendees)
Room B - Open questions (limited 100 attendees)
Room C - Open questions (limited 100 attendees)
Room D - Open questions (limited 100 attendees)
11:30 - 12:15 CET
Fraud in a Digital Environment or "PsychTech"
12:15 - 13:00 CET
A hybrid AI approach to tackling fraud
13:00 - 14:00 CET
Image Processing with BigML
14:00 - 15:00 CET
Break Time
15:00 - 15:30 CET
Searching for anomalies
15:30 - 16:15 CET
Practical anomaly detection examples with BigML
16:15 - 16:45 CET
Predictions techniques in ML
16:45 - 17:15 CET
Room A - Open questions (limited 100 attendees)
Room B - Open questions (limited 100 attendees)
Room C - Open questions (limited 100 attendees)
by Guillem Vidal (BigML)
Room D - Open questions (limited 100 attendees)
by Charles Parker (BigML)
17:15 - 18:15 CET
From my first BigML Project to Production
18:15 - 18:30 CET
Closing Remarks

Organized by:


In collaboration with:

EOI - Escuela de Organizacion Industrial
Junta de Andalucia
Ayuntamiento de Sevilla
Nyenrode Business University


Colegio Oficial de Graduados e Ingenieros Técnicos Industriales de Sevilla
Ferrovial: Sustainable Infrastructure
The Intelligence Company