In domains as diverse as finance, entertainment, sports, climate science, and health-care, there has been a fundamental shift away from traditional recording to intelligent monitoring. Machine learning (ML), being an amalgamation of pattern recognition and computational learning techniques, enable the machine to learn, reason and engage with the real world. In the era of the Internet of Things (IoT) where a large number of sensing devices collect and/or generate an enormous amount of sensory data over time, Intelligent processing and analysis of this data are the key to developing smart IoT applications. Machine Learning techniques, including Classification, Clustering and Regression methodologies, provides the capability to deal with underlying challenges posed by this Big Data which is often characterized by its velocity in terms of time and location while simultaneously involving a variety of multiple modalities and varying data quality.
The objective of the ETIML 2019 is to bring together a high-level international forum of eminent academicians, industry professionals and individuals researchers, including PhD scholars and graduate students, to exchange ideas on the applications of ML to deal with above challenges and discuss the recent trends in research and applications of Machine Learning and IoT applications. The workshop will cover both theoretical and experimental results. The topics span different domains in both areas of IoT and Machine Learning.
Ex. Distinguish Engineer, IBM.
Founder and CEO
Ekagga Technology & Services Pvt. Ltd., Bangalore.
University of Delhi
Registration fee for the workshop.
General guidelines for the workshop.
Registration Start:- 29 March 2019
20 April 2019 25 April 2019
Students (SAU) INR 500/-
Students (non SAU) INR 1000/-
Faculty/Industry INR 5000/-
By Public Transport
Nearest Metro Station:- The nearest metro stations are Lok Kalyan Marg and Bhikaji Cama Place. After reaching the metro station, either you can take an auto(auto will charge Rs. 30/- or Rs. 40/-) or Bus Route No 781.
Nearest Railway Station:- The nearest railway station is New Delhi. After reaching the station, you can board into metro, bus(Bus Route No 781) or auto( auto will charge RS 100/-).
Department of Computer Science,
South Asian University,
Akbar Bhavan, Chanakyapuri
New Delhi-110021, INDIA.
Tel : +91 11 24195271 and Mobile +91-9910521067.