cleaning up typos

2022-09-06 09:00:52 +02:00
parent 7c16c4386f
commit 997118dd68
9 changed files with 70 additions and 70 deletions
@@ -9,7 +9,7 @@ DATE: today


 The main aim of this project is to study in more detail various
-regression methods, including the Ordinary Least Squares (OLS) method,
+regression methods, including the Ordinary Least Squares (OLS) method.
 In addition to the scientific part, in this course we want also to
 give you an experience in writing scientific reports.  The format for
 the delivery of your answers is namely that of a scientific report. At
@@ -27,7 +27,7 @@ recommend to do the code development and testing with a simpler
 one-dimensional function, similar to those discussed in the exercises
 of week 35. A simple test, as discussed during the lectures the first
 two weeks is to set the design matrix equal to the identity
-matrix. Then our model should give a mean square error which is exactly equal to zero.
+matrix. Then your model should give a mean square error which is exactly equal to zero.
 When you are sure that your codes function well, you can then replace
 the one-dimensional test function with the two-dimensional _Franke_ function
 discussed here.