Meaning of the following notation of Expected value.

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While going through the slides of my course on Machine Learning, I came to the following notation:



$$E_(x,y)sim P(y-hatomega_0-hatomega_1x)^2$$





What does this notation mean? So far I have only come across notation like
$$E_f(x) g(x).$$ This notation is completely new to me. Can somebody please explain me this?







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  • I suggest to learn to use Latex, it is really easy.
    – peterh
    Aug 22 at 7:36














up vote
2
down vote

favorite












While going through the slides of my course on Machine Learning, I came to the following notation:



$$E_(x,y)sim P(y-hatomega_0-hatomega_1x)^2$$





What does this notation mean? So far I have only come across notation like
$$E_f(x) g(x).$$ This notation is completely new to me. Can somebody please explain me this?







share|cite|improve this question






















  • I suggest to learn to use Latex, it is really easy.
    – peterh
    Aug 22 at 7:36












up vote
2
down vote

favorite









up vote
2
down vote

favorite











While going through the slides of my course on Machine Learning, I came to the following notation:



$$E_(x,y)sim P(y-hatomega_0-hatomega_1x)^2$$





What does this notation mean? So far I have only come across notation like
$$E_f(x) g(x).$$ This notation is completely new to me. Can somebody please explain me this?







share|cite|improve this question














While going through the slides of my course on Machine Learning, I came to the following notation:



$$E_(x,y)sim P(y-hatomega_0-hatomega_1x)^2$$





What does this notation mean? So far I have only come across notation like
$$E_f(x) g(x).$$ This notation is completely new to me. Can somebody please explain me this?









share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Aug 22 at 7:25









peterh

2,16431631




2,16431631










asked Aug 16 at 10:35









rjmessibarca

225414




225414











  • I suggest to learn to use Latex, it is really easy.
    – peterh
    Aug 22 at 7:36
















  • I suggest to learn to use Latex, it is really easy.
    – peterh
    Aug 22 at 7:36















I suggest to learn to use Latex, it is really easy.
– peterh
Aug 22 at 7:36




I suggest to learn to use Latex, it is really easy.
– peterh
Aug 22 at 7:36










1 Answer
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4
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This probably means that the joint distribution of $(x, y)$ is $P$ and the expected value is taken with respect to $(x, y)$.






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  • 1




    Yep. This appears to be true as then I can easily explain the equation that follows this notation.
    – rjmessibarca
    Aug 16 at 10:42






  • 1




    glad to be of help
    – pointguard0
    Aug 16 at 10:45










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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
4
down vote



accepted










This probably means that the joint distribution of $(x, y)$ is $P$ and the expected value is taken with respect to $(x, y)$.






share|cite|improve this answer
















  • 1




    Yep. This appears to be true as then I can easily explain the equation that follows this notation.
    – rjmessibarca
    Aug 16 at 10:42






  • 1




    glad to be of help
    – pointguard0
    Aug 16 at 10:45














up vote
4
down vote



accepted










This probably means that the joint distribution of $(x, y)$ is $P$ and the expected value is taken with respect to $(x, y)$.






share|cite|improve this answer
















  • 1




    Yep. This appears to be true as then I can easily explain the equation that follows this notation.
    – rjmessibarca
    Aug 16 at 10:42






  • 1




    glad to be of help
    – pointguard0
    Aug 16 at 10:45












up vote
4
down vote



accepted







up vote
4
down vote



accepted






This probably means that the joint distribution of $(x, y)$ is $P$ and the expected value is taken with respect to $(x, y)$.






share|cite|improve this answer












This probably means that the joint distribution of $(x, y)$ is $P$ and the expected value is taken with respect to $(x, y)$.







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










answered Aug 16 at 10:36









pointguard0

1,238821




1,238821







  • 1




    Yep. This appears to be true as then I can easily explain the equation that follows this notation.
    – rjmessibarca
    Aug 16 at 10:42






  • 1




    glad to be of help
    – pointguard0
    Aug 16 at 10:45












  • 1




    Yep. This appears to be true as then I can easily explain the equation that follows this notation.
    – rjmessibarca
    Aug 16 at 10:42






  • 1




    glad to be of help
    – pointguard0
    Aug 16 at 10:45







1




1




Yep. This appears to be true as then I can easily explain the equation that follows this notation.
– rjmessibarca
Aug 16 at 10:42




Yep. This appears to be true as then I can easily explain the equation that follows this notation.
– rjmessibarca
Aug 16 at 10:42




1




1




glad to be of help
– pointguard0
Aug 16 at 10:45




glad to be of help
– pointguard0
Aug 16 at 10:45












 

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