updating week 46

doc/src/week46/week46.do.txt

@@ -5,8 +5,8 @@ DATE: today
 !split
 ===== Overview of week 46 =====
 
-* _Thursday_: Summary of Gradient Boosting and further examples of applications.
-* _Friday_: Support Vector Machines, classification and regression
+* _Thursday_: Summary of Gradient Boosting and further examples of applications, from the physical sciences to the social sciences.
+* _Friday_: Support Vector Machines, classification and regression.
 
 
 Geron's chapter 5. Chapter 12 (sections 12.1-12.3 are the most relevant ones)  of Hastie et al contains also a good discussion.
@@ -14,6 +14,17 @@ Geron's chapter 5. Chapter 12 (sections 12.1-12.3 are the most relevant ones)  o
 "Overview of Support Vector Machines":"https://www.youtube.com/watch?v=efR1C6CvhmE&ab_channel=StatQuestwithJoshStarmer". see also "this video":"https://www.youtube.com/watch?v=N1vOgolbjSc&ab_channel=AliceZhao".
 
 
+!split
+=====  Thursday =====
+
+The first lecture on Thursday is devoted to a summary from last week, with additional examples. This material is included in the lectures from week 45, see also Hastie *et al.* chapter 10.1-10.10.
+
+The second letter will be given by John M. Aiken, who recently defended his thesis on machine learning, and in particular using boosting methods, to data from the social sciences and science education.
+
+!split
+===== Friday =====
+
+We start with a new topic and second-last topic covered in this course, support vector machines (SVM). 
 
 !split
 ===== Support Vector Machines, overarching aims  =====