BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260704T165316Z
UID:1f457bda-5785-48fb-8d2c-049e2903f34a
DTSTART:20210614T070000Z
DTEND:20210616T150000Z
DESCRIPTION:The purpose of this course is to present researchers and scient
 ists with R implementation of Machine Learning methods. The first part of 
 the course will consist of introductory lectures on popular Machine Learni
 ng algorithms including unsupervised methods (Clustering\, Association Rul
 es) and supervised ones (Decision Trees\, Naive Bayes\, Random Forests and
  Deep Neural Network). Basic Machine Learning concepts such as training se
 t\, test set\, validation set\, overfitting\, bagging\, boosting will be i
 ntroduced as well as performance evaluation for supervised and unsupervise
 d methods.\n\nThe second part will consist of practical exercises such as 
 reading data\, using packages and building machine learning applications. 
 Different options for parallel programming will be shown using specific R 
 packages (parallel\, h2o\,…). For Deep Learning applications the Keras p
 ackage will be presented. The examples will cover the analysis of large da
 tasets and images datasets. Participants will use R on Cineca HPC faciliti
 es for practical assignments.\n\nSkills:\nAt the end of the course\, the s
 tudent will be expected to have acquired:\n    • the ability to perfor
 m basic operations on matrices and dataframes \n    • the ability to 
 manage packages\n    • the ability to navigate in the RStudio interfac
 e\n    • a general knowledge of Machine and Deep Learning methods\n  
   • a general knowledge of the most popular packages for Machine and De
 ep Learning\n    • a basic knowledge of different parallel programming
  techniques\n    • the ability to build machine learning applications 
 with large datasets and images datasets\n\nTarget audience:\nStudents and 
 researchers with different backgrounds\, looking for technologies and meth
 ods to analyze a large amount of data.\n\nPre-requisites:\nParticipants mu
 st have a basic statistics knowledge. Participants must also be familiar w
 ith basic Linux and R language.\n\nSUBSCRIPTIONS WILL OPEN ON APRIL 1st 20
 21\n\n\nThe number of participants is limited to 25 students.\nApplicants 
 will be selected according to their experience\, qualifications and scient
 ific interest BASED ON WHAT WRITTEN IN THE REGISTRATION FORM.\n\nPlease u
 se the "Reason for Participation" field for writing your background and fo
 r motivating your subscription to an R course.\n\nAPPLICATION DEADLINE:  
 MAY 23rd 2021\n \n\nSTUDENTS ADMITTED AND NOT ADMITTED WILL BE CONTACTE
 D VIA EMAIL ON JUNE 1ST 2021.\n\n\nIF YOU SUBMITTED AND DIDN'T RECEIVE TH
 E EMAIL AT THAT DATE\, PLEASE WRITE AT corsi.hpc@cineca.it.  \nhttps://
 events.prace-ri.eu/event/1166/
SUMMARY:[ONLINE]Data science with R @ Cineca
URL;VALUE=URI:https://events.prace-ri.eu/event/1166/
END:VEVENT
END:VCALENDAR