Workshop on Big data and Machine Learning

Information Science
Academic Year: 
2016 - 2017
Event Date: 
Friday, March 10, 2017 to Sunday, March 12, 2017
Event Category: 
Event Venue: 
ISE Labs
Target Audience: 
Engineering college Faculty
Number of Audience: 
Resource person: 
Dr. Meena S.M., Prof. Moula Husain
Event Report: 
“Big Data and Machine Learning” Humans, machines and sensors collectively generate an enormous amount of data on a daily basis leading to the growth of massive volume, high velocity and variety of data at unprecedented scale. The sheer volume of such datasets presents new computational challenges as the diverse, feature-rich, unstructured and usually highresolution data does not allow for effective dataintensive inference. In particular, existing Machine Learning algorithms with super linear complexity are computationally infeasible in the context of millions or even billions of data points. Therefore, leveraging scalable, high performance and high throughput modern distributed computing resources for large-scale machine learning tasks is becoming imperative in the current scenario. Overview of the workshop: The 3 days workshop provides hands on experience of installation and administration of Hadoop cluster followed by, design and implementation of Map Reduce algorithms for solving large scale Machine Learning problems. In addition, on-line project activity motivates the participants to set-up their own private cloud and perform large scale Machine Learning by developing time optimized, distributed, scalable and reliable models. Day1: Big data Fundamentals, Hadoop architecture framework, Hadoop Single and Multi-node Cluster. Day2: HDFS file operations, Hadoop Ecosystem - PIG, HIVE, SCOOP. Day3: Designing Map Reduce algorithms, Mahout Library for Machine Learning, Deploying Big Data and Machine Learning applications on Hadoop.
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