> On 23 Apr 2018, at 18:41, Andrew Troemner <atroem...@salesforce.com> wrote:
> 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 <http://salesforce.com/>
> Office: 317.832.4404
> Mobile: 317.531.0216
> On Mon, Apr 23, 2018 at 12:32 PM, GMAIL <babaevka...@gmail.com
> <mailto:babaevka...@gmail.com>> wrote:
> 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
> <http://predictionio.apache.org/> except for a brief description of the
> principle of work and deployment documentation.