Trouble understanding ML and code required to run it
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Done some Googling, ended up with the same confusion.
ML updates/alters a model to provide a result. For example, a credit score is computed based on a variety of factors to determine if a lender should give an applicant a loan; i.e. it helps "predict" whether or not a person is likely to default on that loan.
But how? The programmers put the conditions into the model of both "pass" and "fail" conditions. How does the model suddenly change what those conditions are? It cannot physically (or even virtually) alter the code its running, so thus the conditions should be holding; so where is it learning? where is it not doing what the programmer told it to do?
Perhaps this is an abstract understanding I'm not able to formulate, but if I as the programmer implement all the conditions in a hardcoded state for a model (i.e. if X then Y), how can the machine "learn" and update the model without altering said conditions?
machine-learning machine-learning-model
asked 14 mins ago
pstatixpstatix
101
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Done some Googling, ended up with the same confusion.
ML updates/alters a model to provide a result. For example, a credit score is computed based on a variety of factors to determine if a lender should give an applicant a loan; i.e. it helps "predict" whether or not a person is likely to default on that loan.
But how? The programmers put the conditions into the model of both "pass" and "fail" conditions. How does the model suddenly change what those conditions are? It cannot physically (or even virtually) alter the code its running, so thus the conditions should be holding; so where is it learning? where is it not doing what the programmer told it to do?
Perhaps this is an abstract understanding I'm not able to formulate, but if I as the programmer implement all the conditions in a hardcoded state for a model (i.e. if X then Y), how can the machine "learn" and update the model without altering said conditions?
machine-learning machine-learning-model
asked 14 mins ago
pstatixpstatix
101
New contributor
pstatix is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
Done some Googling, ended up with the same confusion.
ML updates/alters a model to provide a result. For example, a credit score is computed based on a variety of factors to determine if a lender should give an applicant a loan; i.e. it helps "predict" whether or not a person is likely to default on that loan.
But how? The programmers put the conditions into the model of both "pass" and "fail" conditions. How does the model suddenly change what those conditions are? It cannot physically (or even virtually) alter the code its running, so thus the conditions should be holding; so where is it learning? where is it not doing what the programmer told it to do?
Perhaps this is an abstract understanding I'm not able to formulate, but if I as the programmer implement all the conditions in a hardcoded state for a model (i.e. if X then Y), how can the machine "learn" and update the model without altering said conditions?
machine-learning machine-learning-model
asked 14 mins ago
pstatixpstatix
101
New contributor
pstatix is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
Done some Googling, ended up with the same confusion.
ML updates/alters a model to provide a result. For example, a credit score is computed based on a variety of factors to determine if a lender should give an applicant a loan; i.e. it helps "predict" whether or not a person is likely to default on that loan.
But how? The programmers put the conditions into the model of both "pass" and "fail" conditions. How does the model suddenly change what those conditions are? It cannot physically (or even virtually) alter the code its running, so thus the conditions should be holding; so where is it learning? where is it not doing what the programmer told it to do?
Perhaps this is an abstract understanding I'm not able to formulate, but if I as the programmer implement all the conditions in a hardcoded state for a model (i.e. if X then Y), how can the machine "learn" and update the model without altering said conditions?
machine-learning machine-learning-model
machine-learning machine-learning-model
asked 14 mins ago
pstatixpstatix
101
New contributor
pstatix is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 14 mins ago
pstatixpstatix
101
New contributor
pstatix is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 14 mins ago
pstatixpstatix
101
New contributor
pstatix is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 14 mins ago
pstatixpstatix
101
asked 14 mins ago
pstatixpstatix
101
101
New contributor
pstatix is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
pstatix is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
pstatix is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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