#33 Binary Entropy Cost Function | Machine Learning for Engineering & Science Applications
Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture focuses on the binary entropy cost function used in logistic regression. It explains how this cost function quantifies the error in the model's predictions and guides the optimization process during model training. The lecture aims to provide a deeper understanding of the role of cost functions in optimizing logistic regression models. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198 #BinaryEntropy #CostFunction #LogisticRegression #Optimization #ModelTraining
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