#25 Linear Regression | Least Squares | Gradient Descent
Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture delves into the details of linear regression, explaining the principles of least squares fitting and gradient descent optimization. It demonstrates how to derive the coefficients for linear models and discusses the process of systematically finding the best fit for given data. The lecture emphasizes understanding the underlying mechanisms of parameter estimation in linear regression. 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 #LinearRegression #LeastSquares #GradientDescent #ModelFitting #ParameterEstimation
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