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How can i decide the processing power based on the dataset?


How to extract features and classify alert emails coming from monitoring tools into proper category?How do I setup a server in the cloud for machine learning?How can I access dataset from Nasa websiteHow to decide power of independent variables in case of non-linear polynomial regression?Scalable training/updating of many small LSTM modelswhat ETL technique should i use for text documents using Hadoop?Dataset - Sample pdfs for text processing?Dataset processing questionContinuously predicting eventsWhich tool should I use for combining this large dataset?













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$begingroup$


To Train a model in machine learning computer needs more processing power then powerful CPU is needed, since it need large data set, it needs more memory, so rather CPU, GPU is solution.



Do we need to decide processor before we proceed, for example 30000 data set will needs this much processing power.



Thanks in advance.



if this question is not clear, please comment it,










share|improve this question







New contributor




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$endgroup$
















    0












    $begingroup$


    To Train a model in machine learning computer needs more processing power then powerful CPU is needed, since it need large data set, it needs more memory, so rather CPU, GPU is solution.



    Do we need to decide processor before we proceed, for example 30000 data set will needs this much processing power.



    Thanks in advance.



    if this question is not clear, please comment it,










    share|improve this question







    New contributor




    PL_Pathum is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$














      0












      0








      0





      $begingroup$


      To Train a model in machine learning computer needs more processing power then powerful CPU is needed, since it need large data set, it needs more memory, so rather CPU, GPU is solution.



      Do we need to decide processor before we proceed, for example 30000 data set will needs this much processing power.



      Thanks in advance.



      if this question is not clear, please comment it,










      share|improve this question







      New contributor




      PL_Pathum is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      To Train a model in machine learning computer needs more processing power then powerful CPU is needed, since it need large data set, it needs more memory, so rather CPU, GPU is solution.



      Do we need to decide processor before we proceed, for example 30000 data set will needs this much processing power.



      Thanks in advance.



      if this question is not clear, please comment it,







      machine-learning dataset






      share|improve this question







      New contributor




      PL_Pathum is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question







      New contributor




      PL_Pathum is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









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      share|improve this question






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      PL_Pathum is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      asked 23 mins ago









      PL_PathumPL_Pathum

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