National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Linear Logistic Regression Demo
Bak, Adam ; Kesiraju, Santosh (referee) ; Beneš, Karel (advisor)
This bachelor's thesis deals with the machine learning model logistic regression.The aim is to closely inspect and analyze the workings of this model for classification, in order to be able to provide a learning tool in the form of demonstrative application. All of the mathematical formulae, logistic sigmoid, cross entropy error function and gradient are derived and explained in a concise manner. This thesis also provides some insight into the form of the cross entropy error function in the case of linear logistic regression.
Linear Logistic Regression Demo
Bak, Adam ; Kesiraju, Santosh (referee) ; Beneš, Karel (advisor)
This bachelor's thesis deals with the machine learning model logistic regression.The aim is to closely inspect and analyze the workings of this model for classification, in order to be able to provide a learning tool in the form of demonstrative application. All of the mathematical formulae, logistic sigmoid, cross entropy error function and gradient are derived and explained in a concise manner. This thesis also provides some insight into the form of the cross entropy error function in the case of linear logistic regression.

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