Four years ago (more or less) — something to remember when reading the latest analysis from Nate Cohn (and a lot of others)

Track records matter. Like it or not, unless you’re actually working with the numbers, you have to rely to some degree on the credibility of the analysts you’re reading. Three of the best ways to build credibility are:1. Be right a lot.2. When you’re wrong, admit it and seriously examine where you went off track, then…3. Correct those mistakes.

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What is Empirical Risk Minimization

Even though it has an ornate name, the underlying concept is actually quite simple and intuitive. The concept of Empirical Risk Minimization becomes relevant in the world of supervised learning. The actual goal of supervised learning is to find a model that solves a problem as opposed to finding a model that best fits the given dataset.

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