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Prakash Pimpale
Author:Prakash Pimpale
Researcher at CDAC
Two day Workshop on Machine Learning (19-20 Dece. 2008)
Monday 24th, November 2008

Two day Workshop on Machine Learning

(19, 20 Dece. 2008, CDAC, Navi Mumbai)

Machine Learning

MachineLearning (ML) is a subfield of artificial intelligence (AI) that isconcerned with the design and development of algorithms and techniquesthat allow computers to "learn". ML is one of the active areas ofresearch in computer science and currently has a large repository ofpractically useable techniques and algorithms for a wide range oftasks. Typical ML problems include automatic clustering of a set ofitems, automatic classification (spam mail, documents, etc.), automaticlearning/refinement of rules for a diagnostic system, predictivemodelling, etc.

ML methods have evolved from various domainssuch as Statistics, Information theory, Biology and Control theory. MLhas a wide spectrum of applications including natural languageprocessing (NLP), pattern recognition, search engines, medicaldiagnosis, bioinformatics and chemical informatics, fraud detection,stock market analysis, speech and handwriting recognition, robotics,intelligent computer games etc.

About the Workshop

Theworkshop is meant to provide a comprehensive introduction to MachineLearning, focusing on conceptual understanding of popular ML algorithmsand practical applications. Apart from covering popular ML techniquessuch as Artificial Neural Network (ANN), Support Vector Machine (SVM)and Genetic Algorithms (GA) we will discuss modelling of a problem forusing machine learning including input-output transformation.Participant will get hands on experience with these algorithms; usingtoolkits such as Weka.

Workshop Outline

* Introduction to Machine Learning
* Inductive Learning
* Artificial Neural Network
* Support Vector Machine
* Clustering
* Input-output transformation for ML
* Application case studies
* Lab sessions

Target Audience

Theworkshop is targeted at academic and industry professionals interestedin Machine Learning; professionals working in the area of informationretrieval, language processing, document analysis, speech recognitionand students interested in the area of Machine Learning. Somefamiliarity with computer programming will be desirable – language doesnot matter.

Registration Details

RegistrationFee: Rs. 1000/- per participant for academic & non-profitorganizations, and Rs. 1500/- per participant for others, payable by acrossed demand draft drawn in favour of 'C-DAC Mumbai' payable atMumbai. The fee covers lunch, refreshments, and workshop material. Thecomplete registration form fee should be sent to the CourseAdministration section C-DAC, Kharghar, Mumbai.

Accommodation Availability


Limited shared Non-A/C accommodation is available at the Navi Mumbai Campus Hostel, at Rs.150/- per person per day.

Knowledge Based Computer Systems Division

TheKnowledge Based Computer Systems (KBCS) division carries out researchand development in selected subfields of Artificial Intelligence. Itscore areas of research are Natural Language Processing, Expert Systems,Case Based Reasoning, Information Retrieval, Data Mining, SoftComputing, and Planning and Scheduling.

About C-DAC Mumbai

TheCentre for Development of Advanced Computing, Mumbai (formerly NationalCentre for Software Technology) is a scientific society involved in theResearch and Development into various areas of Software Technology andrelated disciplines with an objective to create focus on advancedinformation technologies, high-end academics & training relevant toR&D societies.

Contact Us

Knowledge Based Computer Systems (KBCS) Division
Centre for Development of Advanced Computing (Formerly NCST)
Raintree Marg, Near Bharti Vidyapeeth
Opp. Kharghar Railway Station
Sector 7, CBD Belapur
Navi Mumbai 400 614
For Details Visit: CDAC Mumbai Website
E-mail: Click here to mail
or email: kbcs@cdacmumbai.in
Telephone: +91-22-27565303-05 Fax: +91-22-27560004

What : Two Day Workshop on ML
When: 19th and 20th Dece. 2008
Where: CDAC, CBD-Belapur, Navi Mumbai, Maharahstra, India





 
Comments
Comment 1: By Chandrashekar B H on 19th Nov 2008
think i missed a great opportunity by getting the info quite late. My research work for my phd is in ANN. do inform if any event in near future

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