General News

The Developement of Structural and Functional Neuroimaging Symposium hold at the School of Sciences, Shiraz University in April 17 2019.  The Advanced fMRI Data Analysis Workshop also held in April 18-19 2019. For more information please visit: http://sdat.ir/dns98 

View the embedded image gallery online at:
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Published in SDAT News
Saturday, 21 May 2016 07:26

Learning About Deep Learning

The concept is certainly compelling. Having a machine capable of reacting to real-world visual, auditory or other type of data and then responding, in an intelligent way, has been the stuff of science fiction until very recently. We are now on the verge of this new reality with little general understanding of what it is that artificial intelligence, convolutional neural networks, and deep learning can (and can’t) do, nor what it takes to make them work. At the simplest level, much of the current efforts around deep learning involve very rapid recognition and classification of objects—whether visual, audible, or some other form of digital data. Using cameras, microphones and other types of sensors, data is input into a system that contains a multi-level set of filters that provide increasingly detailed levels of differentiation. Think of it like the animal or plant classification charts from your grammar school days: Kingdom, Phylum, Class, Order, Family, Genus, Species.

Published in Data Science Tools

"Modern Methods in Insurance Pricing and Industrial Statistics" conference will be Held in 3-5 September, 2017, Bu Ali Sina University, Hamedan, Iran. The purpose of the conference is to bring together young and senior academics and people working in insurance and other areas of industrial applications of statistics, and to strengthen the links between the respective communities in Iran and abroad. 

For more information please visit Persian local website address: http://sdat.ir/mipis96 

Or English Arhus University website address: http://thiele.au.dk/events/conferences/2017/modernmethods/ 

 Emai: This email address is being protected from spambots. You need JavaScript enabled to view it. 

Important Dates

  • Deadline for abstract submission: June 22, 2017
  • Notification of acceptance of abstracts: July 6, 2017
  • Deadline for early registration and payment: July 22, 2017

Invited speakers

  • Hansjörg Albrecher, University of Lausanne, Switzerland
  • Søren Asmussen, Aarhus University, Denmark
  • Alireza Edalati, Actuary at VHV Insurance AG, Germany
  • Amin Hassanzadeh, Shahid Beheshti University, Iran
  • David Rios Insua, Rey Juan Carlos University, Spain
  • Gholamreza Nakhaeizadeh, Karlsruhe Institute of Technology, Germany
  • Jens Perch Nielsen, CASS Business School, United Kingdom
  • Amir Safari, Insurance Research Center, Iran
  • Ali Shojaie, University of Washington
 

Short Courses

  • "Introduction to Machine Learning with Industrial Applications" by Ali Shojaie. Date: 2nd September, 2017.
  • "Insurance Ratemarking with GLM using SAS" by Alireza Edalati, Actuary at VHV Insurance AG, Germany. Date: 2nd September, 2017
  • "Risk Management with Big Data and Applications in Industry" by David Rios Insua, Spain. Date: 4th September, 2017

For the short courses there will be a fee, which is kept as low as possible just to cover the expenses.

Published in SDAT News

R: Data Management Calculations and Statistical Analysis Book has been published by Dr. Javad Fardmal, associate professor of biostatistics at Hamedan university of Biomedical Sciences and Dr. Rahim Mahmoudvand, assistant professor of statisitcs at Hamedan University. This book is in Persian and contains various topics in scientific data analysis with R. The table of content is available form here and you can buy the book from here

Published in SDAT News

The 3rd Series of Workshops on Advanced Statistical Methods in Cognitive Sciences will be held by Scientific Data Analysis Team and Neuroimagin Analysis Group at Imam Khomenini Hostpital, Medical Imaging Center.  For more information, please take a look at the workshops homepage on http://sdat.ir/statcog96 or join the workshops Telegram group through https://t.me/StatCog. 

Published in SDAT News

About Us

SDAT is an abbreviation for Scientific Data Analysis Team. It consists of groups who are specialists in various fields of data sciences including Statistical Analytics, Business Analytics, Big Data Analytics and Health Analytics. 

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Address: Department of Statistics, Shiraz University, Shiraz, Iran

Phone: +98-71-38336995

 Cell Phone: +98-910-199-2800

Email: info@sdat.ir

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