Fundamentals of Neural Networks - Linear Regression

The video tutorial introduces statistical machine learning, focusing on linear regression. It explains the linear regression model, its components, and the ordinary least squares (OLS) method for optimization. The tutorial discusses the importance of continuous Y values and the challenges posed by discrete Y values, leading to an introduction to logistic regression for classification tasks.

What new insight or understanding did you gain from this video?