I read Lyubimov's and Palumbo's book on Mahout Samsara up to chapter 4
( Distributed Algebra ). I have some familiarity with R, I did study
linear algebra and calculus in undergrad. In my master's I studied
statistical pattern recognition and researched a number of ML
algorithms in my thesis  spending more time on SVMs. This is to ask:
what is the learning curve of Samsara? How complicated is to work with
distributed algebra to create an algorithm? Can someone share an
example of how long she/he took to go from algorithm conception to
implementation?
Thanks
Gustavo
