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Posted to user@predictionio.apache.org by GMAIL <ba...@gmail.com> on 2018/04/23 16:32:25 UTC
Scientific articles or a Mathematical description
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.
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Posted by Mike Graham <mi...@teyanlogic.se>.
> On 23 Apr 2018, at 18:41, Andrew Troemner <at...@salesforce.com> wrote:
>
> 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 <http://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 <babaevkamil@gmail.com <ma...@gmail.com>> 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 <http://predictionio.apache.org/> except for a brief description of the principle of work and deployment documentation.
>
Re: Scientific articles or a Mathematical description
Posted by GMAIL <ba...@gmail.com>.
Thank You, will study)
2018-04-23 19:41 GMT+03:00 Andrew Troemner <at...@salesforce.com>:
> 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 <ba...@gmail.com> 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.
>>
>
>
Re: Scientific articles or a Mathematical description
Posted by Andrew Troemner <at...@salesforce.com>.
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 <ba...@gmail.com> 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.
>