- The document discusses linear regression models and methods for estimating coefficients, including ordinary least squares and regularization methods like ridge regression and lasso regression. - It explains how lasso regression, unlike ordinary least squares and ridge regression, has the property of driving some of the coefficient estimates exactly to zero, allowing for variable selection. - An
![R実践 機械学習による異常検知 01](https://cdn-ak-scissors.b.st-hatena.com/image/square/31dd7c1f4d5700455fb82637db184fda3bd3b429/height=288;version=1;width=512/https%3A%2F%2Fcdn.slidesharecdn.com%2Fss_thumbnails%2Fr01-150524031700-lva1-app6892-thumbnail.jpg%3Fwidth%3D640%26height%3D640%26fit%3Dbounds)