Robin Anil

Robin Anil
Software Engineer, Google

Web site | @robinanil

Robin is a Committer at the Apache Software Foundation where he works with the Mahout Machine Learning community. He is also a co-author of “Mahout in Action” by Manning Publications, a book on how Mahout is used to perform Machine learning on Terabytes of data with ease.

He used to be a Tech Lead on the ML infrastructure for Minekey Inc, a valley based startup which focussing on recommendations and behavioral targeting for publisher content. He was introduced to the newly born Mahout community through the Google Summer of Code program while he was a dual-degree student at IIT Kharagpur. Since then, he has been trying to model machine learning algorithms in to the Map/Reduce format and have successfully merged his Complementary Naive Bayes and Frequent Pattern Mining implementations with the Mahout code base. He is currently working as a Software Engineer at Google, Bangalore. He finds time from work to contribute actively to the Mahout community.

Sessions

Robin Anil (Google)
Average rating: ***..
(3.62, 8 ratings)
Data is exploding all over the internet. There is immense knowledge within this huge volume of information that needs to be unlocked. We need to Mine patterns, Find clusters, Organize content and Predict the future. In this talk, we will show what these methods are and how the new Apache Mahout project is attempting to solve these problems in a scalable way by utilizing Hadoop. Read more.
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