Design Challenges in IoT and Machine Learning

Event Date & Time: 23/01/2019 - 24/01/2019
College: Sri Ramakrishna Institute of Technology
Department: Any Degree,B.Tech Information Technology,B.E Computer Science Engineering,B.E Mechanical,B.E Mechatronics,B.E Electrical and Electronics Engineering,B.E Aeronautical Engineering,B.E Civil,B.E Instrumentation Engineering,B.E Electronics and Communications,B.E Automobile Engineering,B.E - B.Tech
State - District: Tamil Nadu - Coimbatore
Category: Workshop

Full Details:

Rapid developments in hardware, software,and communication technologies have allowed the emergence of Internet-connected sensory devices that provide observation and data measurement from the physical world. Internet-connected devices technology, continues to extend the current Internet by providing connectivity and interaction between the physical and cyber worlds. In addition to increased volume, the IoT generates Big Data characterized by velocity in terms of time and location dependency, with a variety of multiple modalities and varying data quality. This workshop discusses the different machine learning methods that deal with the challenges in IoT data. The potential and challenges of machine learning for IoT data analytics will also be discussed. This would be a great platform for the interaction of students with reputed scientists and academicians. It also opens up vistas by disseminating the recent research for industrial applications. Further, it paves way for industrialists to innovate modern products which helps in ease of processing and help for the societal development.

* An Introduction to IoT
* An Introduction to Machine Learning and its Algorithms
* Unsupervised Algorithms for IoT Analysis(From Modeling to visualization)
* KMeans Clustering
* KNN Algorithms
* Supervised Algorithms for IoT(From Modeling to Visualization)
* Bayesian Classi

Faculty from Engineering colleges, Research scholars, UG/PG students.

Last date for the Registration 18/1/2019
Intimation of Selection 21/1/2019

Internal Participants: 500/-
External Participants: 750/-

Mobile: 9442587334, 8015051625
Email: [email protected], [email protected],


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