Deep Learning Challenges in Big Data Analytics

The art and science of making sense of data is highly sought after skill in today’s massively connected data driven world. With the objective of moving machine learning closer to its goals, over the past few years, deep learning firmly worked its way into business language when the conversation has been aggressively pushing forward towards big data and analytics. In turn it’s probably most helpful to think of deep learning as the cutting edge of cutting edge. As the size of data grows larger, deep learning plays a vital role in providing solution to challenges in accessing the big data, focuses more narrowly on a subset of machine learning tools and techniques, and applies them in solving just about any problem which requires “thought”-human/artificial in various areas of applications. In order to take journey through deep learning to Big Data analytics, this seminar will help to initiate conversations.

Deep learning transforming Industries & scalable deep learning tools
Techniques and technologies for big data analytics
Deep learning –Supervised/unsupervised architectures for classification
Digital Twin & Deep learning for big data in Industrial applications
Deep learning to overcome big data challenges in health care-medical imaging
Predictive business analytics & Data management using deep learning.

Last date for registration : 02.08.2017
Intimation of selection : 04.08.2017
Confirmation by participants : 07.08.2017

1. For participants from AICTE approved Institutions/ Colleges : Rs.250/-
2. For other participants : Rs.500/-

The Co-ordinator
Department of ECE
K.S.Rangasamy College of Technology
Tiruchengode-637215
Namakkal District
Tamilnadu

Accommodation and boarding if required will be provided in the college campus on payment basis to the participants.