#38 Gradient of Logistic Regression | Machine Learning for Engineering & Science Applications

Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture explains how to calculate the gradient of the cost function in logistic regression, a crucial step in updating model parameters during training. It covers the mathematical derivation of the gradient and discusses its role in the backpropagation algorithm used to optimize neural networks. 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 #LogisticRegression #Gradient #CostFunction #ParameterUpdate #Backpropagation

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