Adserver / Video Player / Social Gaming Project - repost 2

I am working in the area of big data analytics for more than 5 years. I have experience in handling various machine learning project and natural language processing. I have worked on training and building the model using Mahout, Weka, R, Mallet, GATE, OpenNLP, StanfordNLP. I have also experience in training algorithm for large scale data analysis using Hadoop. I have implemented algorithms in map-reduce and tested the application in multi-node environment for more than 50 large instances. I also have experience in algorithms using SVM, Naive Bayes, Neural Network, Decision Trees, Clustering, LDA. I have used NoSQL for distributed environment. I have setup Amazon Ec2 web application and then used scaled web application for large scale usage for even 10,000 users using Amazon Elastic Load Balancing and Auto scaling. I want to know what is the specific work that needs to be done. I am also trying other map-reduce based architectures like Disco, H20 and R-Hadoop.

1) What is the training set that is going to be used for the project?

2) Should the algorithm implemented be in map-reduce architecture ?

3) What is the size of the dataset to be trained for the model ?

4) Is it a large scale web application which also needs to be scaled up/down according to the demand of the users ?

5) What is the training/testing accuracy prediction success rate to be hit ?

If I have good understand of the application, then I can move forward to work in this project.

Habilidades: Algoritmo, Grande Volume de Dados, Hadoop, Aprendizado de Máquina , Map Reduce

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Acerca do Empregador:
( 0 comentários ) Chennai, India

ID do Projeto: #5146413