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.

BigML in collaboration with the Universitat Politècnica de València, the Universitat de València, and Las Naves are bringing the first series of a summer school in Machine Learning to Valencia. We 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 masters both at the Universitat Politècnica de València and the Universitat de València.

Comment about the Summer School using #VSSML15

Schedule of Lectures

The goal of the summer school is not only to introduce basic machine learning concepts, techniques, and tools, but also to share real-world experiences and let the students practice with real datasets and help them build their first predictive applications.

Lectures are going to be very intensive. All lectures will take place at Las Naves from 7:30am to 9:30pm during September 15th and September 16th.

Day 1

07:30am - 08:00am
Breakfast & Networking
08:00am - 08:15am
Opening Remarks
08:15am - 09:00am
State of the Art in Machine Learning
09:00am - 09:45am
Evaluating Machine Learning Algorithms I
09:45am - 10:30am
Decision Trees
10:30am - 11:00am
Coffee Break & Networking
11:00am - 11:45am
Ensembles of Decision Trees
11:45am - 12:30pm
Data Transformations & Feature Engineering
by Charles Parker (Alston Trading) Slides
12:30pm - 01:15pm
Unbalanced Datasets
01:15pm - 02:00pm
Review of Morning Classes
02:00pm - 03:00pm
Lunch & Networking
03:00pm - 04:00pm
Machine Learning APIs I
by Louis Dorard (PAPIs) Slides
04:00pm - 05:00pm
Machine Learning APIs II
05:00pm - 06:00pm
Real-world Machine Learning
by Andrés González (CleverTask) Slides
06:00pm - 06:30pm
Coffee Break & Networking
06:30pm - 09:30pm
Machine Learning Challenges (Beer & Pizza)

Day 2

07:30am - 08:00am
Breakfast & Networking
08:00am - 08:15am
Remarks
08:15am - 09:00am
The Future of Machine Learning
09:00am - 09:45am
Evaluating Machine Learning Algorithms II
09:45am - 10:30am
Cluster Analysis
10:30am - 11:00am
Coffee Break & Networking
11:00am - 11:45am
Anomaly Detection
11:45am - 12:30pm
Machine Learning Black Art
by Charles Parker (Alston Trading) Slides
12:30pm - 01:15pm
Useful Things to Know about Machine Learning
by Charles Parker (Alston Trading) Slides
01:15pm - 02:00pm
Review of Morning Classes
02:00pm - 03:00pm
Lunch & Networking
03:00pm - 04:00pm
Machine Learning APIs III
04:00pm - 05:00pm
Machine Learning APIs IV
05:00pm - 06:00pm
Real-world Machine Learning
06:00pm - 06:30pm
Coffee Break & Networking
06:30pm - 09:30pm
Building your own Predictive App (Beer & Pizza)

Organized by:

In collaboration with: