From our earlier post, we delved into the reasons behind using a Sigmoid function for the Logistic Regression rather than a normal linear function. In this post, we will continue sharing on the Cost Function.
The Cost Function is important because...
Sending endless number of job applications, and waiting on end for a reply, yet always ending up with no answer whatsoever.
Sounds familiar?
Writing a good CV is crucial in giving a positive first impression to attain that job...
In this article, we will explore Logistic Regression as the starting step towards learning about Neural Network and Machine Learning.
Logistics Regression is mainly used for supervised problems that have binary outputs, either 0 or 1. For example, whether it will rain...
