Machine Learning, Artificial Intelligence, Data Science, Heartbreak, Linear Regression.
regularization introduces bias into our model to reduce variance. The procedure involves adding information to the objective function such that we can minimize error during optimization. The optimization problem The best way to explain optimization is with an example. Take a scenario in which a