#ml #masters #bayes #hypothesistesting
Ещё интересные мысли.
"Many applications require not only a prediction but a measure of confidence in the decision as well. Some developers prefer a hypothesis-testing approach, while others favor Bayesian methods. The truth is that whenever possible, both methods should be used, as they provide very different types of information. And most people ignore a critical additional step: computing confidence in the confidence figure!"
"Often, an essential part of development is estimating model parameters for examination. The utility of these estimates is greatly increased if you can also compute the bias and variance of the estimates, or even produce confidence intervals for them."
Ещё интересные мысли.
"Many applications require not only a prediction but a measure of confidence in the decision as well. Some developers prefer a hypothesis-testing approach, while others favor Bayesian methods. The truth is that whenever possible, both methods should be used, as they provide very different types of information. And most people ignore a critical additional step: computing confidence in the confidence figure!"
"Often, an essential part of development is estimating model parameters for examination. The utility of these estimates is greatly increased if you can also compute the bias and variance of the estimates, or even produce confidence intervals for them."