Scaling Compute Intensive Tasks using Apache Spark
A study evaluating the performance for different compute intensive tasks on Apache Spark, analyzing the scalability and optimal parameter selection.![]()
A study evaluating the performance for different compute intensive tasks on Apache Spark, analyzing the scalability and optimal parameter selection.![]()
Training a multiclass classifier on MNIST across multiple GCP instances using PyTorch’s DistributedDataParallel module![]()
Python and Numba-based open source implementation of Viola Jones Cascade Classifier training procedure![]()
A look at impact of Covid-19 on reported happiness scores![]()
My solutions to Google’s coding challenge![]()
Enhancing histogram visualization by applying log transformation for better binning![]()
Implementing and comparing the different Contextual Bandit Algorithms on MNIST dataset![]()
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
Published:
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Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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