Plans for week 38, September 19-23_澳门葡京手机版app下载

mhjensen
2022-09-19T06:25:51.510Z
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www.uio.no

Dear all, welcome back to a new week and FYS-STK3155/4155. We hope you've had a relaxing weekend.
Last week we discussed resampling methods like the bootstrap and cross-validation, as well as other statistical properties such as the central limit theorem and expectation values. Data sampling refers to statistical methods for selecting observations from the domain with the objective of estimating a population parameter. Whereas data resampling refers to methods for economically using a collected dataset to improve the estimate of the population parameter and help to quantify the uncertainty of the estimate.
Both data sampling and data resampling are methods that are required in a predictive modeling problem.

This week we will use the first lecture on Thursday to wrap up our discussion on resampling methods, with a focus on cross-validation. Thereafter, we move over to classification problems. Think of these as data sets with discrete outcomes (yes o...