ºÝºÝߣshows by User: raaghav / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: raaghav / Mon, 08 Sep 2014 18:34:05 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: raaghav Comparing pregel related systems /slideshow/comparing-pregel-related-systems/38847444 comparingpregelrelatedsystems-140908183405-phpapp01
Comparing Open Source implementations of Pregel and Related Systems. Installation of Hadoop and the Pregel Related Systems. Worked with Datasets of varying sizes from very small to very large. Large datasets that have around 30 million vertices and 50 million edges. Worked on 1,4,8 node Amazon EC2 cluster. 4 Algorithms : PageRank,Shortest Path,KMeans,Collaborative Filtering]]>

Comparing Open Source implementations of Pregel and Related Systems. Installation of Hadoop and the Pregel Related Systems. Worked with Datasets of varying sizes from very small to very large. Large datasets that have around 30 million vertices and 50 million edges. Worked on 1,4,8 node Amazon EC2 cluster. 4 Algorithms : PageRank,Shortest Path,KMeans,Collaborative Filtering]]>
Mon, 08 Sep 2014 18:34:05 GMT /slideshow/comparing-pregel-related-systems/38847444 raaghav@slideshare.net(raaghav) Comparing pregel related systems raaghav Comparing Open Source implementations of Pregel and Related Systems. Installation of Hadoop and the Pregel Related Systems. Worked with Datasets of varying sizes from very small to very large. Large datasets that have around 30 million vertices and 50 million edges. Worked on 1,4,8 node Amazon EC2 cluster. 4 Algorithms : PageRank,Shortest Path,KMeans,Collaborative Filtering <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/comparingpregelrelatedsystems-140908183405-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Comparing Open Source implementations of Pregel and Related Systems. Installation of Hadoop and the Pregel Related Systems. Worked with Datasets of varying sizes from very small to very large. Large datasets that have around 30 million vertices and 50 million edges. Worked on 1,4,8 node Amazon EC2 cluster. 4 Algorithms : PageRank,Shortest Path,KMeans,Collaborative Filtering
Comparing pregel related systems from Prashant Raaghav
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Recommendation system for code bugs. /slideshow/recommendation-system-38846837/38846837 recommendationsystem-140908180948-phpapp01
Recommendation System that recommends Similar Bugs and estimates efforts required. Each Defect is broken into set of Keywords and applying ML algorithms to calculate a similarity coefficient. ]]>

Recommendation System that recommends Similar Bugs and estimates efforts required. Each Defect is broken into set of Keywords and applying ML algorithms to calculate a similarity coefficient. ]]>
Mon, 08 Sep 2014 18:09:48 GMT /slideshow/recommendation-system-38846837/38846837 raaghav@slideshare.net(raaghav) Recommendation system for code bugs. raaghav Recommendation System that recommends Similar Bugs and estimates efforts required. Each Defect is broken into set of Keywords and applying ML algorithms to calculate a similarity coefficient. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/recommendationsystem-140908180948-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Recommendation System that recommends Similar Bugs and estimates efforts required. Each Defect is broken into set of Keywords and applying ML algorithms to calculate a similarity coefficient.
Recommendation system for code bugs. from Prashant Raaghav
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1 overview-handout-notes /slideshow/1-overviewhandoutnotes/38846051 1-overview-handout-notes-140908174343-phpapp02
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Mon, 08 Sep 2014 17:43:43 GMT /slideshow/1-overviewhandoutnotes/38846051 raaghav@slideshare.net(raaghav) 1 overview-handout-notes raaghav <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/1-overview-handout-notes-140908174343-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
1 overview-handout-notes from Prashant Raaghav
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https://cdn.slidesharecdn.com/profile-photo-raaghav-48x48.jpg?cb=1601431444 Summary : ☛ BigData: Apache Spark, Apache Hadoop, Mesos, Kafka, etc ☛ Machine Learning ☛ Deep Learning: TensorFlow, H2O ☛ NLP : NLTK I currently work as a chief data officer at Acerta Systems . I completed my masters from University of Waterloo, with research focus in Distributed Systems(Hadoop, Spark) and Machine Learning. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ☛ Extracting patterns from Yahoo finance data using python pandas, matplotlib ☛ Extending Hadoop Distributed File System for mitigating problems of HotSpots ☛ Sentiment Analysis of twitter feeds to predict BoxOffice Performance of movies. ☛ Defect Recommendation System for Open Source Projects. ☛ 2 Year Work Experien... http://raghav20.github.io/ https://cdn.slidesharecdn.com/ss_thumbnails/comparingpregelrelatedsystems-140908183405-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/comparing-pregel-related-systems/38847444 Comparing pregel relat... https://cdn.slidesharecdn.com/ss_thumbnails/recommendationsystem-140908180948-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/recommendation-system-38846837/38846837 Recommendation system ... https://cdn.slidesharecdn.com/ss_thumbnails/1-overview-handout-notes-140908174343-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/1-overviewhandoutnotes/38846051 1 overview-handout-notes