Hello everyone! I'm a senior year computer science student from Birla Institute of Technology and Science, India. I have experience in fields like Data Mining and Machine Learning. Apart from doing basic coursework which included Data Mining, Parallel Computing, and Machine Learning I have also worked on research projects where I worked on building scalable DBSCAN like clustering algorithms.
I have gone through the Apache Mahout website and was wondering if I could *contribute to Mahout in terms of algorithm **development / improvising existing algorithms.* I would be grateful if you could provide me with a starting point, from where I can pick up and understand the Mahout ecosystem. I have no previous experience in working with Apache Mahout or Spark but I have worked with the Map reduce model before (but haven't used Hadoop) I wish to work full time during summer and take part in the Google Summer of Code 2017 program by contributing to Apache Mahout. Awaiting your replies! Cheers! Aditya
