Bayesian Optimization ABC












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I know that I will get negative feedback on this post and might get deleted as well.



but I hope before it gets deleted someone help me..



I have been trying for 2 weeks to understand Bayesian Optimization with no luck



it is not that I am not good at math (i am really good)



but I could not find any toturial that starts from scratch and end to Byesian Optimization for Machine Learning by Peter I. Frazier



I know the basic of P(A|B) = P(B|A) * P(A) / P(B) but when I look at the examples on ML, I can not find how we applied this rule there



I looked at this paper



A Tutorial on Bayesian Optimization



but could not understand it and how is that related to Bayesian theory above



I tried this one
http://philipperemy.github.io/visualization/



the code did not work and till dont know what they are doing?



I wonder if anyone can explain or at least guide how to understand that from scratch?



Thanks









share









$endgroup$

















    0












    $begingroup$


    I know that I will get negative feedback on this post and might get deleted as well.



    but I hope before it gets deleted someone help me..



    I have been trying for 2 weeks to understand Bayesian Optimization with no luck



    it is not that I am not good at math (i am really good)



    but I could not find any toturial that starts from scratch and end to Byesian Optimization for Machine Learning by Peter I. Frazier



    I know the basic of P(A|B) = P(B|A) * P(A) / P(B) but when I look at the examples on ML, I can not find how we applied this rule there



    I looked at this paper



    A Tutorial on Bayesian Optimization



    but could not understand it and how is that related to Bayesian theory above



    I tried this one
    http://philipperemy.github.io/visualization/



    the code did not work and till dont know what they are doing?



    I wonder if anyone can explain or at least guide how to understand that from scratch?



    Thanks









    share









    $endgroup$















      0












      0








      0





      $begingroup$


      I know that I will get negative feedback on this post and might get deleted as well.



      but I hope before it gets deleted someone help me..



      I have been trying for 2 weeks to understand Bayesian Optimization with no luck



      it is not that I am not good at math (i am really good)



      but I could not find any toturial that starts from scratch and end to Byesian Optimization for Machine Learning by Peter I. Frazier



      I know the basic of P(A|B) = P(B|A) * P(A) / P(B) but when I look at the examples on ML, I can not find how we applied this rule there



      I looked at this paper



      A Tutorial on Bayesian Optimization



      but could not understand it and how is that related to Bayesian theory above



      I tried this one
      http://philipperemy.github.io/visualization/



      the code did not work and till dont know what they are doing?



      I wonder if anyone can explain or at least guide how to understand that from scratch?



      Thanks









      share









      $endgroup$




      I know that I will get negative feedback on this post and might get deleted as well.



      but I hope before it gets deleted someone help me..



      I have been trying for 2 weeks to understand Bayesian Optimization with no luck



      it is not that I am not good at math (i am really good)



      but I could not find any toturial that starts from scratch and end to Byesian Optimization for Machine Learning by Peter I. Frazier



      I know the basic of P(A|B) = P(B|A) * P(A) / P(B) but when I look at the examples on ML, I can not find how we applied this rule there



      I looked at this paper



      A Tutorial on Bayesian Optimization



      but could not understand it and how is that related to Bayesian theory above



      I tried this one
      http://philipperemy.github.io/visualization/



      the code did not work and till dont know what they are doing?



      I wonder if anyone can explain or at least guide how to understand that from scratch?



      Thanks







      machine-learning bayesian





      share












      share










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      asked 8 mins ago









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