Hi Folks, I joined this list a week or so ago and am looking to contribute to Mahout, I have studied ML in grad school and am looking to work in either of the areas below:
1) assimilating a framework to introduce multiple layer or single layer neural nets to solve problems in image processing or computer vision 2) genetic algorithms related to solving computationally demanding problems 3) experimenting with mahout on other data stores such as mongodb or rika or Cassandra 4) more thorough unit tests for some of the code using things like jbehave I am looking for recommendations from the community on the process to go about this, should I just start with the Jira tasks and assign myself some tasks pertaining to the above areas or start with number 4. Also is there a project suggestions page for mahout similar to the one in hadoop, that would be a great idea for new folks to help. Best Regards Sent from my iPad
