Valencian Summer School in Machine Learning

September 14-15, 2017, Valencia, Spain

Machine Learning is enabling a transformation in the software industry without precedents. New Machine Learning powered predictive applications are performing jobs that so far were considered exclusive to highly skilled humans. We are already witnessing a new wave of productivity growth that is changing the face of all sectors of the economy.

BigML is bringing the third edition of our Summer School in Machine Learning to Valencia. We will hold a two-day course for advanced undergraduates as well as graduate students, and industry practitioners seeking a quick, practical, and hands-on introduction to Machine Learning. The Summer School will serve as a good introduction to the kind of work that students can expect if they enroll in advanced Machine Learning masters.

Follow the #VSSML17 on Twitter

Lecturers

Charles Parker, Ph.D.

VP of Machine Learning Algorithms

Poul Petersen, M.Sc.

Chief Infrastructure Officer

Mercè Martín Prats, Ph.D.

VP Insights and Applications

José Antonio Ortega (JAO), Ph.D.

Co-Founder, Hacker at Large, and CTO

Enrique Dans, Ph.D.

Strategic Advisor

Schedule of Lectures

The goal of this Summer 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 Veles e Vents from 8:30 AM to 6:00 PM CEST during September 14 and 15.

Day 1

08:30 AM - 09:00 AM
Breakfast and Networking
09:00 AM - 09:15 AM
Opening Remarks
09:15 AM - 10:45 AM
Introduction, Models, and Evaluations
10:45 AM - 11:15 AM
Coffee Break and Networking
11:15 AM - 12:45 PM
Ensembles and Logistic Regressions
12:45 PM - 01:00 PM
Summary of Morning Sessions
01:00 PM - 02:00 PM
Lunch and Networking
02:00 PM - 03:30 PM
Clusters and Anomaly Detection
03:30 PM - 04:00 PM
Coffee Break and Networking
04:00 PM - 05:30 PM
Association Discovery and Latent Dirichlet Allocation
by Poul Petersen (BigML) and Charles Parker (BigML) Slides
05:30 PM - 05:45 PM
Summary Day 1 Sessions
05:45 PM - 06:00 PM
Remarks
06:00 PM - 07:00 PM
Machine Learning in the Real World
by Enrique Dans (BigML)

Day 2

08:30 AM - 09:00 AM
Breakfast and Networking
09:00 AM - 09:15 AM
Remarks
09:15 AM - 10:45 AM
Basic Data Transformations and Feature Engineering
10:45 AM - 11:15 AM
Coffee Break and Networking
11:15 AM - 12:45 PM
Time Series and Deepnets
12:45 PM - 01:00 PM
Summary of Morning Sessions
01:00 PM - 02:00 PM
Lunch and Networking
02:00 PM - 03:30 PM
REST API, Bindings, and Basic Workflows
03:30 PM - 04:00 PM
Coffee Break and Networking
04:00 PM - 05:30 PM
Advanced Workflows: Feature Selection, Boosting, Gradient Descent, and Stacking
05:30 PM - 05:45 PM
Summary of Day 2 Sessions
05:45 PM - 06:00 PM
Closing Remarks
06:00 PM - 08:00 PM
Drinks with the Lecturers

Venue

Veles e Vents Marina Real Juan Carlos I, Muelle de la Aduana, s/n, 46024 Valencia, Spain

How to arrive to Veles e Vents

Estació del Nord The main railway station - middle distance in Valencia
metro (39 min) - bus (41 min) - taxi (14 min)
Joaquín Sorolla The main railway station - long distance in Valencia
metro (39 min) - bus (55 min) - taxi (16 min)
Valencia Airport
metro (53 min) - taxi (27 min)

Right in front of both train stations and the airport, there are taxi stops with plenty of taxis available all day. You can also book your taxi in advance here.

Recommended HotelsMake sure you mention you are coming to the VSSML17 when you book your hotel room.

Hotel Balandret

Standard and Sea view rooms - rate range: 125€ - 175€ (VAT included)

AC Hotel Valencia

Single use: 85€ (+10% VAT)Double room: 95€ (+10% VAT)

Hotel Ilunion Aqua 4

Single use: 82€ (+10% VAT)Double room: 94€ (+10% VAT) (Offer valid until July 14)

Hotel Ilunion Aqua 3

Single use: 72€ (+10% VAT)Double room: 84€ (+10% VAT) (Offer valid until July 14)

Hotel Primus Valencia

Single use: 110€ (+10% VAT)Double room: 120€ (+10% VAT)

Organized by:

Ayuntamiento de Valencia Valenciactiva VIT emprende BigML

In collaboration with:

Veles e Vent