Best links of the week #44

Best links of the week #43

Best links of the week #42

Best links of the week #41

Best links of the week #40

Young Scientists Retreat 2019

Reading Time: 4 minutes

When I first heard of scientific retreats at Institut Curie (Twitter here), I was surprised. But then I kept thinking of how would a scientific retreat work out. I mean, it would inevitably fall into a retreat or a scientific event. It would either be (1) a very pleasant experience to relax and get to know people, something like vacations from work with work peers (which could turn into us talking about work and then no vacations from work) or then (2) a scientific event just like any other. The two things at the same time? Quite unlikely, I thought.

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Best links of the week #37/38

How can I evaluate my model? Part I.

Reading Time: 8 minutes
Source of image: here.

One way to evaluate your model is in terms of error types. Let’s consider a scenario where you live in a city where it rains every once in a while. If you guessed that it would rain this morning, but it did not, your guess was a false positive, sometimes abbreviated as FP. If you said it would not rain, but it did, then you had a false negative (FN). Raining when you do not have an umbrella may be annoying, but life is not always that bad. You could have predicted that it would rain and it did (true positive, TP) or predicted that it would not rain and it did not (true negative, TN). In this example, it’s easy to see that in some contexts one error may be worse than the other and this will vary according to the problem. Bringing an umbrella with you in a day with no rain is not as bad as not bringing an umbrella on a rainy day, right?

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Best links of the week #36