Plans for week 37_澳门葡京手机版app下载

mhjensen
2022-09-11T20:16:03.721Z
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www.uio.no

Here's a quick overview of the plans for this week, with a short review of last week.
Last week we started with project 1, which focuses on linear regression (ordinary least squares, Ridge and Lasso regression). The project aims at first fitting a two-dimensional function where we can generate the data. This serves as a stepping stone towards the analysis of real data (maps in three dims). The reason why we focus on linear regression is that several of these methods have analytical solutions for the optimal parameters. Furthermore, they allow to make links with a statistical interpretation and to discuss central issues in machine learning like resampling methods, overfitting/underfitting (via the bias-variance tradeoff) and more.

Last week during the lectures we discussed how to interpret ordinary least squares and ridge regression from a linear algebra point of view(via the singular value decomposition of a matrix). We ended Friday's lecture with...