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Maksim T.

Presenter (Nov 2012)


Reston, VA

Member since:

June 4, 2012


What is your level of experience with Statistics, Predictive Analytics, Machine Learning and/or Data Mining?

Been there, done that :-) I have a Ph.D. in computer science and artificial intelligence, have been working mainly with graph data and combinatorial algorithms for last 10 years or so. Familiar with a lot of machine learning, optimization, genetic algorithms, etc. I teach social network analysis and graph theory at George Mason University.

What tools and technologies do you use?

Whatever is appropriate. I've tried 90% of things currently out there at least once, used half a dozen in production. I have learned the hard way that you cannot "shoehorn" data into a pattern that is alien to the nature of the data. Normalized RDBMS, MongoDB, CouchDB, HBase, etc -- all impart a certain desire for what the data should be shaped like and going against that grain is a recipe for pain and suffering. Hadoop is not a panacea, not everything is a good candidate for doing in map/reduce. There's huge value in having well-edited "small data" that answers your exact questions instead of a smorgasbord of "big data" that requires an hour of computation to do the most basic operation. There's even better value in front-loading computation so results can be made available instantly. Programming languages: Python, Java, Clojure are my favorites (about in that order).

What do you hope to get out of this group?

Learn more abou tech, get versed in more technologies, see what other people are doing. Also, I'm hiring -- want to meet some rockstar data guys.


Hi -- I'm a data scientist / CTO of DeepMile Networks

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