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POMachine Learning & Big Data
 

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    <p>At the beginning I would like to describe my current position and the goal that would like to achieve.</p> <p>I am a researcher dealing with machine learning. So far have gone through several theoretical courses covering machine learning algorithms and social network analysis and therefore have gained some theoretical concepts useful for implementing machine learning algorithms and feed in the real data.</p> <p>On simple examples the algorithms work well and the running time is acceptable whereas the big data represent a problem if trying to run algoritghms on my PC. Regarding the software I have enough experiences to implement whatever algorithm from articles or design my own using whatever language or IDE (so far have used Matlab, Java with Eclipse, .NET...) but so far haven't got much experiences with setting-up infrastructure. I have started to learn about Hadoop, NoSQL databases etc., but am not sure what strategy would be the best taking into consideration the learning time constraints.</p> <p><strong>The final goal is to be able to set-up a working platform for analyzing big data with focusing on implementing my own machine learning algorithms and put all together into production, ready for solving useful question by processing big data.</strong></p> <p>As the main focus is on implementing machine learning algorithms I would like to ask whether there is any existing running platform, offering enough CPU resources to feed in large data, upload own algorithms and simply process the data without thinking about distributed processing.</p> <p>Nevertheless such platform exists or not, I would like to gain a picture big enough to be able to work in a team which could put into production the whole system tailored upon the specific customer demands. For example a retailor would like to analyze daily purchases so all the daily records have to be uploaded to some infrastructure, capable enough to process the data by using custom machine learning algorithms.</p> <p>To put all the above into simple question: <strong>How to design a custom data mining solution for real life problems with main focus on machine learning algorithms and put it into production, if possible, by using the existing infrastructure and if not, design distributed system (by using Hadoop or whatever framework).</strong></p> <p>I would be very thankful for any advice or suggestions about books or other helpful resources.</p>
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    1. COI would like to see a good answer to your question myself. But did you try Mahoot? If it is too basic, Oracle has just introduced support for R in their DB.
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    2. COI am glad to see this question. I find myself in a very similar situation pertaining to my research.
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    3. COMay be following article will help your research: http://techcrunch.com/2012/10/27/big-data-right-now-five-trendy-open-source-technologies
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