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Find negative log-likelihood cost for logistic regression in python and gradient loss with respect to w,bF - Stack Overflow
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![SOLVED: Using python 3 Given two numbers r and y,we can calculate the schmerg of them y as follows: xy+sin(x)cos(x)tan(x)++oxf22 ny= 196 x2y-3+logy+12 Write in a program that reads in a single SOLVED: Using python 3 Given two numbers r and y,we can calculate the schmerg of them y as follows: xy+sin(x)cos(x)tan(x)++oxf22 ny= 196 x2y-3+logy+12 Write in a program that reads in a single](https://cdn.numerade.com/ask_images/b82b511154c743b39b9bc6683187d670.jpg)
SOLVED: Using python 3 Given two numbers r and y,we can calculate the schmerg of them y as follows: xy+sin(x)cos(x)tan(x)++oxf22 ny= 196 x2y-3+logy+12 Write in a program that reads in a single
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