samch93

A (deep) NN is just a really complicated data model, the way one treats the estimation of its parameters and prediction of new data determines whether one is a Bayesian or a frequentist. The Bayesian assigns a distribution to the parameters and then conditions on the data to obtain a posterior distribution based on which a posterior predictive distribution is obtained for new data, while the frequentist treats parameters as fixed quantities and estimates them from the likelihood alone, e.g., with maximum likelihood (potentially using some hacks such as regularization, which themselves can be given a Bayesian interpretation).

I agree that there are many things Fisher got wrong (eugenics, tobacco lobbying, etc.), but his contributions to statistics (e.g., maximum likelihood or ANOVA) and genetics are among the most fundamental of the 20th century.

Link's Awakening is such a weird but fascinating entry in the Zelda series. I was not surprised to learn that its story was directly influenced by Twin Peaks.

Nintendo ninjas coming in 3, 2, 1,....

try the following R code:

fisher.test(matrix(c(786, 298, 22999, 11156), nrow = 2))

#> Fisher's Exact Test for Count Data

#>

#>data: matrix(c(786, 298, 22999, 11156), nrow = 2)

#>p-value = 0.0003266

#>alternative hypothesis: true odds ratio is not equal to 1

#>95 percent confidence interval:

#> 1.116046 1.469612

#>sample estimates:

#>odds ratio

#> 1.279435

Do you know about Claude Shannon's Master thesis?

Guetzli means cookie in Swiss German, I wonder what inspired the devs to choose that name