tldr: “Ridge” is a fancy name for L2-regularization, “LASSO” means L1-regularization, “ElasticNet” is a ratio of L1 and L2 regularization. If still confused keep reading…

Logistic Regression

This article is about different ways of regularizing regressions. In the context of classification, we might use logistic regression but these ideas apply just as well to any kind of regression or GLM.

With binary logistic regression, the goal is to find a way to separate your two classes. …

“ ‘All models are wrong, but some are useful.’

So proclaimed statistician George Box 30 years ago, and he was right. But what choice did we have? Only models, from cosmological equations to theories of human behavior, seemed to be able to consistently, if imperfectly, explain the world around us…

Climbing rocks is probably the best way I know of to slowly lose all your time and money. There is hardly a better way of doing so.

I was climbing near Aspen, CO, when the opportunity arose to go to southern Utah to see my godfather’s daughter (also my father’s…

An analogy with the Neural Network Algorithm

I’m going to try and explain to you why I believe discussions on the subject of ethics, especially of the abstract variety, in which seemingly well warranted postulations about the nature of morality abound, are not only entirely futile but morally hazardous. …

Despite what others tell you, it can be done.

Overlooking Glaciar Grey near the top of the pass.

Torres Del Paine is one of the great natural treasures on the face of this planet, and a friend and I recently had the great pleasure of experiencing it. The Torres were the first stop in our Patagonian expedition, which was all too short, and wanting to do as much…

Alex Lenail

conscious mammalian organism, fanatical tea snob.

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