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Update week35.do.txt

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Morten Hjorth-Jensen
2021-09-01 22:51:17 +02:00
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doc/src/week35/week35.do.txt
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@@ -13,12 +13,17 @@ DATE: today
!split
===== Thursday August 27 =====
"Video of Lecture":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureAug27.mp4?vrtx=view-as-webpage".
The main topics on Thursday are:
o Repetition from last week on linear regression
o Discussion of how to prepare data and examples of applications of linear regression
o Mathematical interpretations of Linear Regression
o Start discussing Ridge regression and Singular Value Decomposition
!split
===== Why Linear Regression (aka Ordinary Least Squares and family), repeat from last week =====
We need first a reminder from last week about linear regression.
Fitting a continuous function with linear parameterization in terms of the parameters $\bm{\beta}$.
* Method of choice for fitting a continuous function!
* Gives an excellent introduction to central Machine Learning features with _understandable pedagogical_ links to other methods like _Neural Networks_, _Support Vector Machines_ etc