Chapter 3: Model Building through Regression — Neural Networks (CSC383) Notes

Introduction, Linear Regression Model: Preliminary Considerations, Maximum a Posteriori Estimation of the Parameter Vector, Relationship Between Regularized Least-Squares Estimation and Map Estimation.

Elective Course
Ch. 3: Model Building through Regression

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Ch. 2: Rosenblatt’s PerceptronCh. 4: The Least-Mean-Square Algorithm

Topics & Key Objectives in Chapter 3

IntroductionLinear Regression Model: Preliminary ConsiderationsMaximum a Posteriori Estimation of the Parameter VectorRelationship Between Regularized Least-Squares Estimation and Map Estimation.

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