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Big Data Analytics using RHadoop (post poned)

Event Description

Machine learning is a scientific discipline that deals with the construction and study of algorithms that can learn from data. Such algorithms operate by building a model based on inputs and using that to make predictions or decisions, rather than following only explicitly programmed instructions. R is a free software programming language and software environment for statistical computing and graphics. Apache Hadoop is an open-source software framework written in Java for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware. RHadoop is a collection of R packages that allow users to manage and analyze big data with Hadoop. 70% of time will be devoted on hands on sessions.

Event Details/Highlights

 Big Data Analytics:
o Introduction to Data Analytics
o Introduction to Big Data Analytics
 R Programming:
o Introduction to R programming
o R for Data Analytics
o Data manipulation
 Machine Learning:
o Supervised Learning
 Prediction
 Classification
o Unsupervised Learning
 Clustering
 Recommendation
 Hadoop:
o Introduction to Hadoop
o Hadoop File System Architecture (HDFS)
o Map-reduce parallel processing
 RHadoop:
o Introduction to RHadoop
o Implementing Machine learning algorithm for big data analytics using

Registration Details

Rs. 1500/- per Student
Rs. 2500/- per faculty / Research scholar
Rs. 3500/- per delegate from Industry

Payment through DD, to be drawn in favor of “TIFAC CORE–VIT University”, Payable at Vellore.

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