Very good. But if prior chosen badly (similar but wrong parameter say), you can into trouble cf with no prior (same totally random like flat line). One wonder …
I come from Australia. I'm sorry, I can't deal with this, but if anyone out there can help, can I suggest that Baysian Analysis helps us predict whether a piece of data belongs and how likely it is to be common in a larger set? If i write this sentence, 'I cat eated a fish overly', the model could predict that this is not likely to be in the British Corpus of Spoken English.
Very good. But if prior chosen badly (similar but wrong parameter say), you can into trouble cf with no prior (same totally random like flat line). One wonder …
I come from Australia. I'm sorry, I can't deal with this, but if anyone out there can help, can I suggest that Baysian Analysis helps us predict whether a piece of data belongs and how likely it is to be common in a larger set? If i write this sentence, 'I cat eated a fish overly', the model could predict that this is not likely to be in the British Corpus of Spoken English.
Excuse me, maybe could you send me the slides, i found so interesting this topic, please...
@@phg0922 Thank you!