Lunedí 5 Febbraio SEMINAR ON BIG DATA, OPTIMIZATION AND LEARNING
11:00 – 13:00
Prof. Andrea Lodi
In this talk I review a couple of applications on Big Data that I personally like and I try to explain my point
of view as a Mathematical Optimizer – especially concerned with discrete (integer) decisions – on the
subject. I advocate a tight integration of Machine Learning and Mathematical Optimization (among
others) to deal with the challenges of decision-making in Data Science. For such an integration I try to
answer three questions:
1) what can optimization do for machine learning?
2) what can machine learning do for optimization?
3) which new applications can be solved by the combination of machine learning and optimization?ORGANISERS

Ettore Lanzarone
Silvia Zuffi