Machine Learning for Engineering & Science Applications | IIT Madras - #37 Differentiating the Sigmoid | Machine Learning for Engineering & Science Applications

Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture focuses on differentiating the sigmoid function, an essential step in implementing gradient descent optimization for logistic regression and neural networks. It derives the derivative of the sigmoid function and explains its significance in calculating gradients, enabling viewers to understand the mathematical foundations of training these 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 #SigmoidFunction #Derivative #Calculus #GradientDescent #Optimization