- This event has passed.
June 29, 2020 - July 3, 2020
Regularization Methods for Machine Learning
COURSE AT A GLANCE
The course will be held from June 29th to July 3rd at DIBRIS (University of Genova, Italy)
Understanding how intelligence works and how it can be emulated by machines is an age old dream and arguably one of the biggest challenges in modern science. Learning, with its principles and computational implementations, is at the very core of this endeavor. Recently, for the first time, we have been able to develop artificial intelligence systems able to solve complex tasks considered out of reach for decades. Modern cameras recognize faces, and smart phones voice commands, cars can see and detect pedestrians and ATM machines automatically read checks. In most cases at the root of these success stories there are machine learning algorithms, that is, software that is trained rather than programmed to solve a task. Among the variety of approaches to modern computational learning, we focus on regularization techniques, that are key to high-dimensional learning. Regularization methods allow to treat in a unified way a huge class of diverse approaches, while providing tools to design new ones. Starting from classical notions of smoothness, shrinkage and margin, the course will cover state of the art techniques based on the concepts of geometry (aka manifold learning), sparsity and a variety of algorithms for supervised learning, feature selection, structured prediction, multitask learning and model selection. Practical applications for high dimensional problems, in particular in computational vision, will be discussed. The classes will focus on algorithmic and methodological aspects, while trying to give an idea of the underlying theoretical underpinnings. Practical laboratory sessions will give the opportunity to have hands on experience.
RegML is a 20 hours advanced machine learning course including theory classes and practical laboratory sessions. The course covers foundations as well as recent advances in Machine Learning with emphasis on high dimensional data and a core set techniques, namely regularization methods. In many respects the course is a compressed version of the 9.520 course at MIT.
- MLCC 2019. A one week (crash) course of 10 lectures, including theoretical and practical sessions.
- MIT 9.520 – Statistical Learning Theory and Applications. This is a term long course of roughly 25 lectures offered to graduate students at MIT.
- Machine Learning 2018/2019. Undergraduate term-long introductory Machine Learning course offered at the University of Genova.
- CBMM Summer School: Machine Learning Classes. One day introduction to the essential concepts and algorithms at the core of modern Machine Learning.
- RegML master page. Previous editions of RegML.
The course started in 2008 has seen an increasing national and international attendance over the years, with a peak of over 90 participants in 2014.
Where? Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS)
Università degli Studi di Genova (University of Genova), Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi (DIBRIS), Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), Via Dodecaneso 35, 16146 Genova, Italy.
The word codesign consists of two connected words: code sign. The idea in choosing this name comes from combining the role and design of the designer with the entire technology world, which is based entirely on ‘code’ writing.
Our business approach is based on sharing, trust and empathy. In order to accurately understand the needs of the business and to do the job best, it is necessary to mark a high presence in the field, to mark goals and objectives, ie to ‘sign’. This approach optimally adapts technology solutions to all types of problems, including generating data-based insights that help make vital business decisions.
This is the reason for choosing the name ‘codesign’ because our work process indicates that we have been here, that we have provided a correct and professional response to the customer’s satisfaction. This unique combination is copyrighted because of the originality of the name and its meaning.
The story began during the military period, when I volunteered to serve in the Givati unit in the Shaked Battalion in the IDF, but towards the end of the military service, on 12/05/2004, during an operational activity in the Philadelphi route, I sustained a serious injury that accompanies me to this day.
After a long rehabilitation period that included many physical therapy treatments, I enrolled in design studies at one of the best colleges in Israel, Thilten College in Haifa. I graduated with honors, won awards, started a small business and started working as an independent.
Today I am a design engineer and graphic designer in my professional training and I am a research scientist at a private and independent research institute I set up. I completed applied mathematics and computer science studies in an autodidactic way from the Technion and even participated in various theoretical and practical workshops at leading universities in Israel: Hebrew University, Bar-Ilan University, Ben-Gurion University and Weizmann Institute of Science.
During my work, as an independent, I was exposed to a variety of problems that many of my clients have encountered, so I thought of starting a professional blog that would concentrate on all the latest and most useful information to provide added value and great solution to all my clients and colleagues.