This talk will explore the origin and usage of the R programming language which is an important tool for the lopment of the complex components of the Decision Support Systems with functions such as the numeric analysis and machine learning.
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SPEAKER
Prof Algirdas Pakštas
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AGENDA
18:00 - Tea, coffee, juice & biscuits
18:30 - Talk
19:30 - Networking, including food and wine
20:30 - Close
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SYNOPSIS
This talk will explore the origin and usage of the R programming language which is an important tool for the lopment of the complex components of the Decision Support Systems with functions such as the numeric analysis and machine learning.
According to the experts "R is the most popular language used in the field of statistics". It is free, open-source, powerful and highly extensible environment which contains a lot of pre-packaged stuff. The R programmable environment uses command-line scripting which allows designing, store and re-uses a series of complex data-analysis in steps, which in turn makes it easier for others to validate research results and check for errors.
According to Tiobe's year-end ratings of language searches, here was a noted increase in R language search popularity in 2014 and for comparison, ava, PHP, and C++ remain highly popular but are dropping. And why not R? It can be daunting because R syntax is different from that of many other languages.
A brief comparison of Pros/Cons of using R and Python for Decision Support Systems is presented. Aspects affecting the performance of complex computing systems and its possible technical limits are touched.
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SPEAKER BIOGRAPHIES
Prof Algirdas Pakštas
Experienced IT professional and researcher in wide range of topics related to the broad area of [Applied] Computing/Computer Science (Research Automation Techniques, Systems Programming, Data Acquisition and Embedded Systems, CAMAC, DEC PDP-11/LSI-11 systems, CAD/CAM, Software Development, Formal Grammars, Programming Language Compilers and their Development, Distributed Computing Systems, Computer Networks, OSI Protocols, Communications Software Engineering, Network Simulation methods and tools, Modelling, Formal Ontologies, Decision Support Systems, Cyber Security/Wireless LAN Security).
Experience of Programming: ALGOL/ASSEMBLER-360 linkage, RSX-11M/OMSI PASCAL/MACRO-11, BASIC, FORTRAN, Borland Turbo Pascal/Delphi Pascal, LaTeX/BibTeX/HTML, oTcl, Python, R. Experience of tools: OPNET/Unix, CACI COMNET III, Network Simulator NS-2/NAM. About 180 publications, presentations and research reports. Experienced HE/University Lecturer/Tutor from 1984.
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For overseas delegates who wish to attend the event please note that BCS does not issue invitation letters.
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THIS EVENT IS BROUGHT TO YOU BY:
BCS Advanced Programming SG
Visit https://apsg.bcs.org/
