The increasing amount of scientific data collected through sensors or computational simulations can take advantage of new techniques for being processed in order to extract new insights out of raw data. The purpose of this one-week school is to present researchers and scientists with methods, tools and techniques for exploring and mining, large data sets using Cineca high performance resources. The school is an introductory set of lectures aimed at training beginners participants in the application of relevant statistical, machine and deep learning algorithms to create classification and predictive models using Cineca resources to execute efficient processing jobs. The school will consist of introductory lectures held by data scientists, and hands-on sessions.
At the end of the course, the student will possess and know how to use the following skills:
- Use of Cineca HPC resources
- Machine Learning algorithms and libraries
- Deep Learning frameworks
Young students, PhD, and researchers in computational sciences and scientific areas with different backgrounds, looking for new technologies and methods to process and analyse large amount of data.
Participants must have basic knowledge in statistics, on the fundamentals of computer programming with python and in using GNU/Linux-based systems.
The lunch for the five days will be offered to all the participants and some grants are available. The only requirement to be eligible is to be not funded by your institution to attend the course and to work or live in an institute outside the Bologna area. The grant will be 300 euros for students working and living outside Italy and 150 euros for students working and living in Italy. Some documentation will be required and the grant will be paid only after a certified presence of minimum 80% of the lectures.
Further information about how to request the grant, will be provided at the confirmation of the course: about 3 weeks before the starting date.
The number of participants is limited to 20 students. Applicants will be selected according to their experience, qualification and scientific interest BASED ON WHAT WRITTEN IN THE "Reason for participation" FIELD OF THE REGISTRATION FORM.
May 4th, 2018.
STUDENTS WILL BE NOTIFIED ON THEIR ADMISSION OR NOT WITH AN EMAIL ON MONDAY MAY,14TH.
Attendance is FREE.