Valencian Summer School in Machine Learning

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 will soon witness a new wave of productivity growth that will change the face of all sectors of the economy.

In collaboration with Las Naves, we are bringing the second series of a summer school in Machine Learning to Valencia. BigML will hold a two-day summer school 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.

Comment about the Summer School using #VSSML16

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

Professor Geoff Webb

Director Monash University Centre for Data Science

Schedule of Lectures

The goal of the 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 Las Naves from 8:30 AM to 6:00 PM CEST during September 8 and 9.

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), Geoff Webb (Monash University), Charles Parker (BigML) Slides
05:30 PM - 05:45 PM
Summary Day 1 Sessions
05:45 PM - 06:00 PM
Remarks

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
10:45 AM - 11:15 AM
Coffee Break and Networking
11:15 AM - 12:45 PM
Feature Engineering
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

Co-organized by:

BigML Telefonica _OpenFuture

In collaboration with: