Thank You, will study) 2018-04-23 19:41 GMT+03:00 Andrew Troemner <[email protected]>:
> Hi, > > PredictionIO serves as a framework for other numerical processing > libraries, primarily Spark's MLlib. You can read more of the documentation > on the Spark website <https://spark.apache.org/docs/latest/ml-guide.html>. > > The library has many tools related to classification, regression, > collaborative filtering, NLP, and other related tasks, so it's probably > easier to describe the broad task you want to do and then find out the > specific Spark / Java / Scala implementation API's. > > If you want to learn more about several statistical techniques, I would > recommend a general statistical book that describes many common techniques. > I find the Elements of Statistical Learning > <https://web.stanford.edu/~hastie/ElemStatLearn/> by Springer Press to be > particularly useful to that end. There are several other books about > Scikit-learn that also describe very well the variety of statistical > algorithms available to Data Scientists. > > Hope that helps! > > > *ANDREW TROEMNER*Associate Principal Data Scientist | salesforce.com > Office: 317.832.4404 > Mobile: 317.531.0216 > <http://smart.salesforce.com/sig/atroemner//us_mb_kb/default/link.html> > > On Mon, Apr 23, 2018 at 12:32 PM, GMAIL <[email protected]> wrote: > >> Hello. >> Is it possible to find scientific articles or a mathematical description >> of the work of PredictionIO anywhere? >> I could not find anything on predictionio.apache.org except for a brief >> description of the principle of work and deployment documentation. >> > >
