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From Khurrum Nasim <>
Subject Re: [Hello] from NASa
Date Fri, 20 May 2016 15:32:18 GMT
Sounds more like demand prediction to me.   

However your system should be able to interact with other non-C/C++ systems.  
There is something called Apache Thrift.   

Which brings me to the following - would it be a valuable feature to Mahout library to provide
connectivity with other systems using Thrift.   

Thoughts ?


p.s. Andrew Ng can put you to sleep easily. 

> On May 20, 2016, at 10:07 AM, Steven NASa <> wrote:
> Hi Folk & Masters,
> My name is *NASa*. I am now working for an e-commerce B2C company in China,
> dealing with Transaction Process development in C++ & Java on Linux
> environment.
> As you know, *Recommender System* is quite valuable and important to an
> e-commerce online shopping website like Amazon. I was told and required to
> design and implement a Recommender System which can bring some value to my
> Company. Our System is based on C++ codes. So I was searching for an robust
> Machine Learning framework in C++ which can help me to easily implement a
> Recommender System. I did not find any one which can satisfy my
> requirements, but only some C++ math libraries.
> Our system is based on an internal distributed frameworks like RPC and DB
> access on Linux environment based on C++ programming language. But I find
> it is really inconvenient to implement a Recommender System in C++ from
> zero without distributed computing library supporting, like
> implementing *Collaborative
> Filtering* with SVD in a distributed computing way. So I am trying to find
> a framework/library with is designed based on Distributed-System. There I
> come to *Mahout*.
> I wish I can build a library that can help people easily and quickly build
> up a Recommender System based on Distributed System and also use the
> Machine Learning Algorithms in distributed way. Apache has many amazing
> projects which can help people to build up robust distributed system
> easily. So I am moving to using “Java” environment.
> I am new to *Mahout* and *Hadoop*, *Spark*, *Scala* and I learned Andrew
> Ng’s “Machine Learning” from Coursera
> <>. So I have
> the basic knowledge of Machine Learning, and now I am keeping forward to *Deep
> Learning* and *Convex Optimization*, some other Mathematical Optimization
> implementation. I am now still learning and getting famiIiar with Mahout. I
> hope I can contribute some codes to Mahout in the early future with
> learning by coding and coding by learning.
> NASa 2016/05/20
> ​

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