diff --git a/doc/pub/week48/html/week48-bs.html b/doc/pub/week48/html/week48-bs.html
index b2302ceda..1bb10edf1 100644
--- a/doc/pub/week48/html/week48-bs.html
+++ b/doc/pub/week48/html/week48-bs.html
@@ -37,7 +37,11 @@ doconce format html week48.do.txt --html_style=bootstrap --pygments_html_style=d
 <!-- tocinfo
 {'highest level': 2,
  'sections': [('Overview of week 48', 2, None, 'overview-of-week-48'),
-              ('Plan for week 47', 2, None, 'plan-for-week-47'),
+              ('Lecture Monday, November 25',
+               2,
+               None,
+               'lecture-monday-november-25'),
+              ('Lab sessions', 2, None, 'lab-sessions'),
               ('Random Forest Algorithm, reminder from last week',
                2,
                None,
@@ -277,77 +281,78 @@ MathJax.Hub.Config({
         <a href="#" class="dropdown-toggle" data-toggle="dropdown">Contents <b class="caret"></b></a>
         <ul class="dropdown-menu">
      <!-- navigation toc: --> <li><a href="._week48-bs001.html#overview-of-week-48" style="font-size: 80%;">Overview of week 48</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs002.html#plan-for-week-47" style="font-size: 80%;">Plan for week 47</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs003.html#random-forest-algorithm-reminder-from-last-week" style="font-size: 80%;">Random Forest Algorithm, reminder from last week</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs004.html#random-forests-compared-with-other-methods-on-the-cancer-data" style="font-size: 80%;">Random Forests Compared with other Methods on the Cancer Data</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs005.html#compare-bagging-on-trees-with-random-forests" style="font-size: 80%;">Compare  Bagging on Trees with Random Forests</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs006.html#boosting-a-bird-s-eye-view" style="font-size: 80%;">Boosting, a Bird's Eye View</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs007.html#what-is-boosting-additive-modelling-iterative-fitting" style="font-size: 80%;">What is boosting? Additive Modelling/Iterative Fitting</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs008.html#iterative-fitting-regression-and-squared-error-cost-function" style="font-size: 80%;">Iterative Fitting, Regression and Squared-error Cost Function</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs009.html#squared-error-example-and-iterative-fitting" style="font-size: 80%;">Squared-Error Example and Iterative Fitting</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs010.html#iterative-fitting-classification-and-adaboost" style="font-size: 80%;">Iterative Fitting, Classification and AdaBoost</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs011.html#adaptive-boosting-adaboost" style="font-size: 80%;">Adaptive Boosting, AdaBoost</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs012.html#building-up-adaboost" style="font-size: 80%;">Building up AdaBoost</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs013.html#adaptive-boosting-adaboost-basic-algorithm" style="font-size: 80%;">Adaptive boosting: AdaBoost, Basic Algorithm</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs014.html#basic-steps-of-adaboost" style="font-size: 80%;">Basic Steps of AdaBoost</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs015.html#adaboost-examples" style="font-size: 80%;">AdaBoost Examples</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs016.html#making-an-adaboost-code-yourself" style="font-size: 80%;">Making an  ADAboost code yourself</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs017.html#gradient-boosting-basics-with-steepest-descent-functional-gradient-descent" style="font-size: 80%;">Gradient boosting: Basics with Steepest Descent/Functional Gradient Descent</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs018.html#the-squared-error-again-steepest-descent" style="font-size: 80%;">The Squared-Error again! Steepest Descent</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs019.html#steepest-descent-example" style="font-size: 80%;">Steepest Descent Example</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs020.html#gradient-boosting-algorithm" style="font-size: 80%;">Gradient Boosting, algorithm</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs021.html#gradient-boosting-examples-of-regression" style="font-size: 80%;">Gradient Boosting, Examples of Regression</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs022.html#gradient-boosting-classification-example" style="font-size: 80%;">Gradient Boosting, Classification Example</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs023.html#xgboost-extreme-gradient-boosting" style="font-size: 80%;">XGBoost: Extreme Gradient Boosting</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs024.html#xgboost-on-the-cancer-data" style="font-size: 80%;">Xgboost on the Cancer Data</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs025.html#gradient-boosting-making-our-own-code-for-a-regression-case" style="font-size: 80%;">Gradient boosting, making our own code for a regression case</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs026.html#summary-of-course" style="font-size: 80%;">Summary of course</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs027.html#what-me-worry-no-final-exam-in-this-course" style="font-size: 80%;">What? Me worry? No final exam in this course!</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs028.html#topics-we-have-covered-this-year" style="font-size: 80%;">Topics we have covered this year</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs029.html#statistical-analysis-and-optimization-of-data" style="font-size: 80%;">Statistical analysis and optimization of data</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs030.html#machine-learning" style="font-size: 80%;">Machine learning</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs031.html#learning-outcomes-and-overarching-aims-of-this-course" style="font-size: 80%;">Learning outcomes and overarching aims of this course</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs032.html#perspective-on-machine-learning" style="font-size: 80%;">Perspective on Machine Learning</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs033.html#machine-learning-research" style="font-size: 80%;">Machine Learning Research</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs034.html#starting-your-machine-learning-project" style="font-size: 80%;">Starting your Machine Learning Project</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs035.html#choose-a-model-and-algorithm" style="font-size: 80%;">Choose a Model and Algorithm</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs036.html#preparing-your-data" style="font-size: 80%;">Preparing Your Data</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs037.html#which-activation-and-weights-to-choose-in-neural-networks" style="font-size: 80%;">Which activation and weights to choose in neural networks</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs038.html#optimization-methods-and-hyperparameters" style="font-size: 80%;">Optimization Methods and Hyperparameters</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs039.html#resampling" style="font-size: 80%;">Resampling</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs040.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;">Other courses on Data science and Machine Learning  at UiO</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs041.html#additional-courses-of-interest" style="font-size: 80%;">Additional courses of interest</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs042.html#what-s-the-future-like" style="font-size: 80%;">What's the future like?</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs043.html#types-of-machine-learning-a-repetition" style="font-size: 80%;">Types of Machine Learning, a repetition</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs044.html#why-boltzmann-machines" style="font-size: 80%;">Why Boltzmann machines?</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs045.html#boltzmann-machines" style="font-size: 80%;">Boltzmann Machines</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs046.html#some-similarities-and-differences-from-dnns" style="font-size: 80%;">Some similarities and differences from DNNs</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs047.html#boltzmann-machines-bm" style="font-size: 80%;">Boltzmann machines (BM)</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs048.html#a-standard-bm-setup" style="font-size: 80%;">A standard BM setup</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs049.html#the-structure-of-the-rbm-network" style="font-size: 80%;">The structure of the RBM network</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs050.html#the-network" style="font-size: 80%;">The network</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs051.html#goals" style="font-size: 80%;">Goals</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs052.html#joint-distribution" style="font-size: 80%;">Joint distribution</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs053.html#network-elements-the-energy-function" style="font-size: 80%;">Network Elements, the energy function</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs054.html#defining-different-types-of-rbms" style="font-size: 80%;">Defining different types of RBMs</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs055.html#more-about-rbms" style="font-size: 80%;">More about RBMs</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs056.html#autoencoders-overarching-view" style="font-size: 80%;">Autoencoders: Overarching view</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs057.html#bayesian-machine-learning" style="font-size: 80%;">Bayesian Machine Learning</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs058.html#reinforcement-learning" style="font-size: 80%;">Reinforcement Learning</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs059.html#transfer-learning" style="font-size: 80%;">Transfer learning</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs060.html#adversarial-learning" style="font-size: 80%;">Adversarial learning</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs061.html#dual-learning" style="font-size: 80%;">Dual learning</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs062.html#distributed-machine-learning" style="font-size: 80%;">Distributed machine learning</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs063.html#meta-learning" style="font-size: 80%;">Meta learning</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs064.html#the-challenges-facing-machine-learning" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs065.html#explainable-machine-learning" style="font-size: 80%;">Explainable machine learning</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs066.html#quantum-machine-learning" style="font-size: 80%;">Quantum machine learning</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs067.html#quantum-machine-learning-algorithms-based-on-linear-algebra" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs068.html#quantum-reinforcement-learning" style="font-size: 80%;">Quantum reinforcement learning</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs069.html#quantum-deep-learning" style="font-size: 80%;">Quantum deep learning</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs070.html#social-machine-learning" style="font-size: 80%;">Social machine learning</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs071.html#the-last-words" style="font-size: 80%;">The last words?</a></li>
-     <!-- navigation toc: --> <li><a href="._week48-bs072.html#best-wishes-to-you-all-and-thanks-so-much-for-your-heroic-efforts-this-semester" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs002.html#lecture-monday-november-25" style="font-size: 80%;">Lecture Monday, November 25</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs003.html#lab-sessions" style="font-size: 80%;">Lab sessions</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs004.html#random-forest-algorithm-reminder-from-last-week" style="font-size: 80%;">Random Forest Algorithm, reminder from last week</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs005.html#random-forests-compared-with-other-methods-on-the-cancer-data" style="font-size: 80%;">Random Forests Compared with other Methods on the Cancer Data</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs006.html#compare-bagging-on-trees-with-random-forests" style="font-size: 80%;">Compare  Bagging on Trees with Random Forests</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs007.html#boosting-a-bird-s-eye-view" style="font-size: 80%;">Boosting, a Bird's Eye View</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs008.html#what-is-boosting-additive-modelling-iterative-fitting" style="font-size: 80%;">What is boosting? Additive Modelling/Iterative Fitting</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs009.html#iterative-fitting-regression-and-squared-error-cost-function" style="font-size: 80%;">Iterative Fitting, Regression and Squared-error Cost Function</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs010.html#squared-error-example-and-iterative-fitting" style="font-size: 80%;">Squared-Error Example and Iterative Fitting</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs011.html#iterative-fitting-classification-and-adaboost" style="font-size: 80%;">Iterative Fitting, Classification and AdaBoost</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs012.html#adaptive-boosting-adaboost" style="font-size: 80%;">Adaptive Boosting, AdaBoost</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs013.html#building-up-adaboost" style="font-size: 80%;">Building up AdaBoost</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs014.html#adaptive-boosting-adaboost-basic-algorithm" style="font-size: 80%;">Adaptive boosting: AdaBoost, Basic Algorithm</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs015.html#basic-steps-of-adaboost" style="font-size: 80%;">Basic Steps of AdaBoost</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs016.html#adaboost-examples" style="font-size: 80%;">AdaBoost Examples</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs017.html#making-an-adaboost-code-yourself" style="font-size: 80%;">Making an  ADAboost code yourself</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs018.html#gradient-boosting-basics-with-steepest-descent-functional-gradient-descent" style="font-size: 80%;">Gradient boosting: Basics with Steepest Descent/Functional Gradient Descent</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs019.html#the-squared-error-again-steepest-descent" style="font-size: 80%;">The Squared-Error again! Steepest Descent</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs020.html#steepest-descent-example" style="font-size: 80%;">Steepest Descent Example</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs021.html#gradient-boosting-algorithm" style="font-size: 80%;">Gradient Boosting, algorithm</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs022.html#gradient-boosting-examples-of-regression" style="font-size: 80%;">Gradient Boosting, Examples of Regression</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs023.html#gradient-boosting-classification-example" style="font-size: 80%;">Gradient Boosting, Classification Example</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs024.html#xgboost-extreme-gradient-boosting" style="font-size: 80%;">XGBoost: Extreme Gradient Boosting</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs025.html#xgboost-on-the-cancer-data" style="font-size: 80%;">Xgboost on the Cancer Data</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs026.html#gradient-boosting-making-our-own-code-for-a-regression-case" style="font-size: 80%;">Gradient boosting, making our own code for a regression case</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs027.html#summary-of-course" style="font-size: 80%;">Summary of course</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs028.html#what-me-worry-no-final-exam-in-this-course" style="font-size: 80%;">What? Me worry? No final exam in this course!</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs029.html#topics-we-have-covered-this-year" style="font-size: 80%;">Topics we have covered this year</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs030.html#statistical-analysis-and-optimization-of-data" style="font-size: 80%;">Statistical analysis and optimization of data</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs031.html#machine-learning" style="font-size: 80%;">Machine learning</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs032.html#learning-outcomes-and-overarching-aims-of-this-course" style="font-size: 80%;">Learning outcomes and overarching aims of this course</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs033.html#perspective-on-machine-learning" style="font-size: 80%;">Perspective on Machine Learning</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs034.html#machine-learning-research" style="font-size: 80%;">Machine Learning Research</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs035.html#starting-your-machine-learning-project" style="font-size: 80%;">Starting your Machine Learning Project</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs036.html#choose-a-model-and-algorithm" style="font-size: 80%;">Choose a Model and Algorithm</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs037.html#preparing-your-data" style="font-size: 80%;">Preparing Your Data</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs038.html#which-activation-and-weights-to-choose-in-neural-networks" style="font-size: 80%;">Which activation and weights to choose in neural networks</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs039.html#optimization-methods-and-hyperparameters" style="font-size: 80%;">Optimization Methods and Hyperparameters</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs040.html#resampling" style="font-size: 80%;">Resampling</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs041.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;">Other courses on Data science and Machine Learning  at UiO</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs042.html#additional-courses-of-interest" style="font-size: 80%;">Additional courses of interest</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs043.html#what-s-the-future-like" style="font-size: 80%;">What's the future like?</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs044.html#types-of-machine-learning-a-repetition" style="font-size: 80%;">Types of Machine Learning, a repetition</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs045.html#why-boltzmann-machines" style="font-size: 80%;">Why Boltzmann machines?</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs046.html#boltzmann-machines" style="font-size: 80%;">Boltzmann Machines</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs047.html#some-similarities-and-differences-from-dnns" style="font-size: 80%;">Some similarities and differences from DNNs</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs048.html#boltzmann-machines-bm" style="font-size: 80%;">Boltzmann machines (BM)</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs049.html#a-standard-bm-setup" style="font-size: 80%;">A standard BM setup</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs050.html#the-structure-of-the-rbm-network" style="font-size: 80%;">The structure of the RBM network</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs051.html#the-network" style="font-size: 80%;">The network</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs052.html#goals" style="font-size: 80%;">Goals</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs053.html#joint-distribution" style="font-size: 80%;">Joint distribution</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs054.html#network-elements-the-energy-function" style="font-size: 80%;">Network Elements, the energy function</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs055.html#defining-different-types-of-rbms" style="font-size: 80%;">Defining different types of RBMs</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs056.html#more-about-rbms" style="font-size: 80%;">More about RBMs</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs057.html#autoencoders-overarching-view" style="font-size: 80%;">Autoencoders: Overarching view</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs058.html#bayesian-machine-learning" style="font-size: 80%;">Bayesian Machine Learning</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs059.html#reinforcement-learning" style="font-size: 80%;">Reinforcement Learning</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs060.html#transfer-learning" style="font-size: 80%;">Transfer learning</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs061.html#adversarial-learning" style="font-size: 80%;">Adversarial learning</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs062.html#dual-learning" style="font-size: 80%;">Dual learning</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs063.html#distributed-machine-learning" style="font-size: 80%;">Distributed machine learning</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs064.html#meta-learning" style="font-size: 80%;">Meta learning</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs065.html#the-challenges-facing-machine-learning" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs066.html#explainable-machine-learning" style="font-size: 80%;">Explainable machine learning</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs067.html#quantum-machine-learning" style="font-size: 80%;">Quantum machine learning</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs068.html#quantum-machine-learning-algorithms-based-on-linear-algebra" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs069.html#quantum-reinforcement-learning" style="font-size: 80%;">Quantum reinforcement learning</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs070.html#quantum-deep-learning" style="font-size: 80%;">Quantum deep learning</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs071.html#social-machine-learning" style="font-size: 80%;">Social machine learning</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs072.html#the-last-words" style="font-size: 80%;">The last words?</a></li>
+     <!-- navigation toc: --> <li><a href="._week48-bs073.html#best-wishes-to-you-all-and-thanks-so-much-for-your-heroic-efforts-this-semester" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
 
         </ul>
       </li>
@@ -374,7 +379,7 @@ MathJax.Hub.Config({
 </center>
 <br>
 <center>
-<h4>Nov 23, 2024</h4>
+<h4>Nov 24, 2024</h4>
 </center> <!-- date -->
 <br>
 
@@ -399,7 +404,7 @@ MathJax.Hub.Config({
   <li><a href="._week48-bs008.html">9</a></li>
   <li><a href="._week48-bs009.html">10</a></li>
   <li><a href="">...</a></li>
-  <li><a href="._week48-bs072.html">73</a></li>
+  <li><a href="._week48-bs073.html">74</a></li>
   <li><a href="._week48-bs001.html">&raquo;</a></li>
 </ul>
 <!-- ------------------- end of main content --------------- -->
diff --git a/doc/pub/week48/html/week48-reveal.html b/doc/pub/week48/html/week48-reveal.html
index 1ceb2e043..e5846756b 100644
--- a/doc/pub/week48/html/week48-reveal.html
+++ b/doc/pub/week48/html/week48-reveal.html
@@ -181,7 +181,7 @@ MathJax.Hub.Config({
 </center>
 <br>
 <center>
-<h4>Nov 23, 2024</h4>
+<h4>Nov 24, 2024</h4>
 </center> <!-- date -->
 <br>
 
@@ -196,24 +196,7 @@ MathJax.Hub.Config({
 </section>
 
 <section>
-<h2 id="plan-for-week-47">Plan for week 47 </h2>
-
-<div class="alert alert-block alert-block alert-text-normal">
-<b>Lab sessions on Tuesday and Wednesday</b>
-<p>
-<ul>
-
-<p><li> Work and Discussion of project 3</li>
-
-<p><li> Last weekly exercise</li>
-
-<p><li> Lab sessions at usual times.</li>
-
-<p><li> For the week of December 2-6, lab sessions start at 10am and end at 4pm, room F&#216;434, Tuesday and Wednesday</li>
-</ul>
-</div>
-  
-
+<h2 id="lecture-monday-november-25">Lecture Monday, November 25 </h2>
 <div class="alert alert-block alert-block alert-text-normal">
 <b>Plans for the lecture Monday 25 November, with video suggestions etc</b>
 <p>
@@ -237,6 +220,24 @@ MathJax.Hub.Config({
 </div>
 </section>
 
+<section>
+<h2 id="lab-sessions">Lab sessions </h2>
+<div class="alert alert-block alert-block alert-text-normal">
+<b>Lab sessions on Tuesday and Wednesday</b>
+<p>
+<ul>
+
+<p><li> Work and Discussion of project 3</li>
+
+<p><li> Last weekly exercise</li>
+
+<p><li> Lab sessions at usual times.</li>
+
+<p><li> For the week of December 2-6, lab sessions start at 10am and end at 4pm, room F&#216;434, Tuesday and Wednesday</li>
+</ul>
+</div>
+</section>
+
 <section>
 <h2 id="random-forest-algorithm-reminder-from-last-week">Random Forest Algorithm, reminder from last week </h2>
 
diff --git a/doc/pub/week48/html/week48-solarized.html b/doc/pub/week48/html/week48-solarized.html
index 18f9c74c8..be584fe08 100644
--- a/doc/pub/week48/html/week48-solarized.html
+++ b/doc/pub/week48/html/week48-solarized.html
@@ -64,7 +64,11 @@ div.toc p,a {
 <!-- tocinfo
 {'highest level': 2,
  'sections': [('Overview of week 48', 2, None, 'overview-of-week-48'),
-              ('Plan for week 47', 2, None, 'plan-for-week-47'),
+              ('Lecture Monday, November 25',
+               2,
+               None,
+               'lecture-monday-november-25'),
+              ('Lab sessions', 2, None, 'lab-sessions'),
               ('Random Forest Algorithm, reminder from last week',
                2,
                None,
@@ -303,7 +307,7 @@ MathJax.Hub.Config({
 </center>
 <br>
 <center>
-<h4>Nov 23, 2024</h4>
+<h4>Nov 24, 2024</h4>
 </center> <!-- date -->
 <br>
 
@@ -311,20 +315,7 @@ MathJax.Hub.Config({
 <h2 id="overview-of-week-48">Overview of week 48 </h2>
 
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
-<h2 id="plan-for-week-47">Plan for week 47 </h2>
-
-<div class="alert alert-block alert-block alert-text-normal">
-<b>Lab sessions on Tuesday and Wednesday</b>
-<p>
-<ul>
-  <li> Work and Discussion of project 3</li>
-  <li> Last weekly exercise</li>
-  <li> Lab sessions at usual times.</li>
-  <li> For the week of December 2-6, lab sessions start at 10am and end at 4pm, room F&#216;434, Tuesday and Wednesday</li>
-</ul>
-</div>
-  
-
+<h2 id="lecture-monday-november-25">Lecture Monday, November 25 </h2>
 <div class="alert alert-block alert-block alert-text-normal">
 <b>Plans for the lecture Monday 25 November, with video suggestions etc</b>
 <p>
@@ -347,6 +338,20 @@ MathJax.Hub.Config({
 </div>
 
 
+<!-- !split --><br><br><br><br><br><br><br><br><br><br>
+<h2 id="lab-sessions">Lab sessions </h2>
+<div class="alert alert-block alert-block alert-text-normal">
+<b>Lab sessions on Tuesday and Wednesday</b>
+<p>
+<ul>
+  <li> Work and Discussion of project 3</li>
+  <li> Last weekly exercise</li>
+  <li> Lab sessions at usual times.</li>
+  <li> For the week of December 2-6, lab sessions start at 10am and end at 4pm, room F&#216;434, Tuesday and Wednesday</li>
+</ul>
+</div>
+  
+
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
 <h2 id="random-forest-algorithm-reminder-from-last-week">Random Forest Algorithm, reminder from last week </h2>
 
diff --git a/doc/pub/week48/html/week48.html b/doc/pub/week48/html/week48.html
index a0d63e6fe..b6537705a 100644
--- a/doc/pub/week48/html/week48.html
+++ b/doc/pub/week48/html/week48.html
@@ -141,7 +141,11 @@ div.toc p,a {
 <!-- tocinfo
 {'highest level': 2,
  'sections': [('Overview of week 48', 2, None, 'overview-of-week-48'),
-              ('Plan for week 47', 2, None, 'plan-for-week-47'),
+              ('Lecture Monday, November 25',
+               2,
+               None,
+               'lecture-monday-november-25'),
+              ('Lab sessions', 2, None, 'lab-sessions'),
               ('Random Forest Algorithm, reminder from last week',
                2,
                None,
@@ -380,7 +384,7 @@ MathJax.Hub.Config({
 </center>
 <br>
 <center>
-<h4>Nov 23, 2024</h4>
+<h4>Nov 24, 2024</h4>
 </center> <!-- date -->
 <br>
 
@@ -388,20 +392,7 @@ MathJax.Hub.Config({
 <h2 id="overview-of-week-48">Overview of week 48 </h2>
 
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
-<h2 id="plan-for-week-47">Plan for week 47 </h2>
-
-<div class="alert alert-block alert-block alert-text-normal">
-<b>Lab sessions on Tuesday and Wednesday</b>
-<p>
-<ul>
-  <li> Work and Discussion of project 3</li>
-  <li> Last weekly exercise</li>
-  <li> Lab sessions at usual times.</li>
-  <li> For the week of December 2-6, lab sessions start at 10am and end at 4pm, room F&#216;434, Tuesday and Wednesday</li>
-</ul>
-</div>
-  
-
+<h2 id="lecture-monday-november-25">Lecture Monday, November 25 </h2>
 <div class="alert alert-block alert-block alert-text-normal">
 <b>Plans for the lecture Monday 25 November, with video suggestions etc</b>
 <p>
@@ -424,6 +415,20 @@ MathJax.Hub.Config({
 </div>
 
 
+<!-- !split --><br><br><br><br><br><br><br><br><br><br>
+<h2 id="lab-sessions">Lab sessions </h2>
+<div class="alert alert-block alert-block alert-text-normal">
+<b>Lab sessions on Tuesday and Wednesday</b>
+<p>
+<ul>
+  <li> Work and Discussion of project 3</li>
+  <li> Last weekly exercise</li>
+  <li> Lab sessions at usual times.</li>
+  <li> For the week of December 2-6, lab sessions start at 10am and end at 4pm, room F&#216;434, Tuesday and Wednesday</li>
+</ul>
+</div>
+  
+
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
 <h2 id="random-forest-algorithm-reminder-from-last-week">Random Forest Algorithm, reminder from last week </h2>
 
diff --git a/doc/pub/week48/ipynb/ipynb-week48-src.tar.gz b/doc/pub/week48/ipynb/ipynb-week48-src.tar.gz
index d6def3c34..96c4dcdb0 100644
Binary files a/doc/pub/week48/ipynb/ipynb-week48-src.tar.gz and b/doc/pub/week48/ipynb/ipynb-week48-src.tar.gz differ
diff --git a/doc/pub/week48/ipynb/week48.ipynb b/doc/pub/week48/ipynb/week48.ipynb
index 486829beb..c0298d422 100644
--- a/doc/pub/week48/ipynb/week48.ipynb
+++ b/doc/pub/week48/ipynb/week48.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "3b64c66e",
+   "id": "d7c532d5",
    "metadata": {
     "editable": true
    },
@@ -14,7 +14,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "45ba1703",
+   "id": "d27ab2b4",
    "metadata": {
     "editable": true
    },
@@ -22,14 +22,14 @@
     "# Week 48: Gradient boosting  and summary of course\n",
     "**Morten Hjorth-Jensen**, Department of Physics and Center for Computing in Science Education, University of Oslo, Norway\n",
     "\n",
-    "Date: **Nov 23, 2024**\n",
+    "Date: **Nov 24, 2024**\n",
     "\n",
     "Copyright 1999-2024, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "7258309e",
+   "id": "9f55b05a",
    "metadata": {
     "editable": true
    },
@@ -39,25 +39,12 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8a4ef0a3",
+   "id": "e72578f8",
    "metadata": {
     "editable": true
    },
    "source": [
-    "## Plan for week 47\n",
-    "\n",
-    "**Lab sessions on Tuesday and Wednesday.**\n",
-    "\n",
-    "  * Work and Discussion of project 3\n",
-    "\n",
-    "  * Last weekly exercise\n",
-    "\n",
-    "  * Lab sessions at usual times.\n",
-    "\n",
-    "  * For the week of December 2-6, lab sessions start at 10am and end at 4pm, room FØ434, Tuesday and Wednesday\n",
-    "\n",
-    "  \n",
-    "\n",
+    "## Lecture Monday, November 25\n",
     "**Plans for the lecture Monday 25 November, with video suggestions etc.**\n",
     "\n",
     "1. Boosting and gradient boosting and ensemble models\n",
@@ -85,7 +72,26 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e01d37bc",
+   "id": "51ee8fb3",
+   "metadata": {
+    "editable": true
+   },
+   "source": [
+    "## Lab sessions\n",
+    "**Lab sessions on Tuesday and Wednesday.**\n",
+    "\n",
+    "  * Work and Discussion of project 3\n",
+    "\n",
+    "  * Last weekly exercise\n",
+    "\n",
+    "  * Lab sessions at usual times.\n",
+    "\n",
+    "  * For the week of December 2-6, lab sessions start at 10am and end at 4pm, room FØ434, Tuesday and Wednesday"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5b4ed2be",
    "metadata": {
     "editable": true
    },
@@ -112,7 +118,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1160253d",
+   "id": "3e76e282",
    "metadata": {
     "editable": true
    },
@@ -123,7 +129,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "ac77382f",
+   "id": "acba62b3",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -197,7 +203,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "254c4495",
+   "id": "c5cbe0e8",
    "metadata": {
     "editable": true
    },
@@ -213,7 +219,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5633e7a9",
+   "id": "19bd77f2",
    "metadata": {
     "editable": true
    },
@@ -224,7 +230,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "250bca6d",
+   "id": "84f1af2e",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -239,7 +245,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "a8506102",
+   "id": "6c01d900",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -257,7 +263,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8713c888",
+   "id": "896072f6",
    "metadata": {
     "editable": true
    },
@@ -277,7 +283,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "efc5e7e7",
+   "id": "babc9c9c",
    "metadata": {
     "editable": true
    },
@@ -291,7 +297,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ee68d9b3",
+   "id": "2ed28584",
    "metadata": {
     "editable": true
    },
@@ -303,7 +309,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6efcd942",
+   "id": "5b5b9631",
    "metadata": {
     "editable": true
    },
@@ -320,7 +326,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8b2a4e15",
+   "id": "7b6c43ec",
    "metadata": {
     "editable": true
    },
@@ -332,7 +338,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "77d4f75d",
+   "id": "3962039f",
    "metadata": {
     "editable": true
    },
@@ -346,7 +352,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9d0680d2",
+   "id": "ee5f259c",
    "metadata": {
     "editable": true
    },
@@ -358,7 +364,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a5f51b6a",
+   "id": "079d8ee3",
    "metadata": {
     "editable": true
    },
@@ -371,7 +377,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c6eafc82",
+   "id": "11f821a2",
    "metadata": {
     "editable": true
    },
@@ -383,7 +389,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d42a3420",
+   "id": "60990073",
    "metadata": {
     "editable": true
    },
@@ -393,7 +399,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ecac5a19",
+   "id": "4d7195ab",
    "metadata": {
     "editable": true
    },
@@ -421,7 +427,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "632d7379",
+   "id": "4bee726a",
    "metadata": {
     "editable": true
    },
@@ -437,7 +443,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3a2dc7cd",
+   "id": "1190b9a0",
    "metadata": {
     "editable": true
    },
@@ -449,7 +455,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d1dae1f7",
+   "id": "2702211b",
    "metadata": {
     "editable": true
    },
@@ -460,7 +466,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "db8e52c8",
+   "id": "1b1d9984",
    "metadata": {
     "editable": true
    },
@@ -472,7 +478,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b71e4562",
+   "id": "cdf7e56a",
    "metadata": {
     "editable": true
    },
@@ -482,7 +488,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8b287320",
+   "id": "ac6f3b86",
    "metadata": {
     "editable": true
    },
@@ -494,7 +500,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "444b31c7",
+   "id": "faf6fb5f",
    "metadata": {
     "editable": true
    },
@@ -504,7 +510,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "975f549b",
+   "id": "969f86ed",
    "metadata": {
     "editable": true
    },
@@ -516,7 +522,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "49707e43",
+   "id": "a98a541c",
    "metadata": {
     "editable": true
    },
@@ -526,7 +532,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "30fff982",
+   "id": "d8be5438",
    "metadata": {
     "editable": true
    },
@@ -538,7 +544,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8936f422",
+   "id": "932f43c5",
    "metadata": {
     "editable": true
    },
@@ -552,7 +558,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "373a4a0c",
+   "id": "24630eb9",
    "metadata": {
     "editable": true
    },
@@ -568,7 +574,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c412ab0e",
+   "id": "9a7fa4b6",
    "metadata": {
     "editable": true
    },
@@ -580,7 +586,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0018a744",
+   "id": "7ead62b2",
    "metadata": {
     "editable": true
    },
@@ -596,7 +602,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d092eb4b",
+   "id": "91639c49",
    "metadata": {
     "editable": true
    },
@@ -608,7 +614,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "17820826",
+   "id": "e43865c2",
    "metadata": {
     "editable": true
    },
@@ -618,7 +624,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f4910537",
+   "id": "1884c219",
    "metadata": {
     "editable": true
    },
@@ -630,7 +636,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bfae7a07",
+   "id": "bbb1cdbb",
    "metadata": {
     "editable": true
    },
@@ -642,7 +648,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f00bee3c",
+   "id": "7e3590f6",
    "metadata": {
     "editable": true
    },
@@ -654,7 +660,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bf267f5b",
+   "id": "2eb8c86b",
    "metadata": {
     "editable": true
    },
@@ -665,7 +671,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a6eb9909",
+   "id": "e477d15a",
    "metadata": {
     "editable": true
    },
@@ -677,7 +683,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2bbceaad",
+   "id": "b6f01e59",
    "metadata": {
     "editable": true
    },
@@ -688,7 +694,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9ff79322",
+   "id": "71c85471",
    "metadata": {
     "editable": true
    },
@@ -700,7 +706,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6c4299e2",
+   "id": "2d5be340",
    "metadata": {
     "editable": true
    },
@@ -710,7 +716,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "068e2930",
+   "id": "e426517c",
    "metadata": {
     "editable": true
    },
@@ -722,7 +728,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "53eb174c",
+   "id": "c0c7e993",
    "metadata": {
     "editable": true
    },
@@ -734,7 +740,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3baeddb4",
+   "id": "7457a096",
    "metadata": {
     "editable": true
    },
@@ -746,7 +752,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "87178662",
+   "id": "424d5bc9",
    "metadata": {
     "editable": true
    },
@@ -758,7 +764,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c48316bd",
+   "id": "d1fa658b",
    "metadata": {
     "editable": true
    },
@@ -768,7 +774,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6ccbebe4",
+   "id": "f8fc6b15",
    "metadata": {
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    },
@@ -780,7 +786,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "526ec37c",
+   "id": "9ca82f54",
    "metadata": {
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@@ -790,7 +796,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "84e556c0",
+   "id": "6c028686",
    "metadata": {
     "editable": true
    },
@@ -802,7 +808,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "931a10f7",
+   "id": "4007a0ef",
    "metadata": {
     "editable": true
    },
@@ -812,7 +818,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "45b79d8b",
+   "id": "ba456347",
    "metadata": {
     "editable": true
    },
@@ -824,7 +830,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e30b9dee",
+   "id": "c8df4ef3",
    "metadata": {
     "editable": true
    },
@@ -834,7 +840,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c8d42197",
+   "id": "da46f9d9",
    "metadata": {
     "editable": true
    },
@@ -846,7 +852,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "56d6acfd",
+   "id": "5c60f30d",
    "metadata": {
     "editable": true
    },
@@ -856,7 +862,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "df837af9",
+   "id": "a5bc4dfe",
    "metadata": {
     "editable": true
    },
@@ -868,7 +874,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1fafddb8",
+   "id": "3987cc1e",
    "metadata": {
     "editable": true
    },
@@ -888,7 +894,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8a898c02",
+   "id": "b35df09e",
    "metadata": {
     "editable": true
    },
@@ -900,7 +906,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "03435f7c",
+   "id": "5b6a209c",
    "metadata": {
     "editable": true
    },
@@ -910,7 +916,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ac433aeb",
+   "id": "d619a097",
    "metadata": {
     "editable": true
    },
@@ -926,7 +932,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "37e79583",
+   "id": "b7311abb",
    "metadata": {
     "editable": true
    },
@@ -938,7 +944,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6eff57bb",
+   "id": "4bfb4209",
    "metadata": {
     "editable": true
    },
@@ -966,7 +972,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "143fddc5",
+   "id": "4cf4c1f4",
    "metadata": {
     "editable": true
    },
@@ -979,7 +985,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "627dcde1",
+   "id": "453dff54",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -1004,7 +1010,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0586f2f5",
+   "id": "d6470164",
    "metadata": {
     "editable": true
    },
@@ -1015,7 +1021,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "57f72ee8",
+   "id": "b6e01886",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -1104,7 +1110,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "98bcb1fd",
+   "id": "3cede4c9",
    "metadata": {
     "editable": true
    },
@@ -1122,7 +1128,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "adfad730",
+   "id": "94e3b59f",
    "metadata": {
     "editable": true
    },
@@ -1135,7 +1141,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "32e3c207",
+   "id": "2f000f62",
    "metadata": {
     "editable": true
    },
@@ -1147,7 +1153,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "460df33e",
+   "id": "014da5e9",
    "metadata": {
     "editable": true
    },
@@ -1157,7 +1163,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ec1e9c33",
+   "id": "022aee06",
    "metadata": {
     "editable": true
    },
@@ -1169,7 +1175,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5f517f3c",
+   "id": "d0d3e174",
    "metadata": {
     "editable": true
    },
@@ -1179,7 +1185,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8352e0e4",
+   "id": "8af32042",
    "metadata": {
     "editable": true
    },
@@ -1191,7 +1197,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b158a9ff",
+   "id": "4a384d95",
    "metadata": {
     "editable": true
    },
@@ -1204,7 +1210,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "17fb6c35",
+   "id": "bd5b9bb9",
    "metadata": {
     "editable": true
    },
@@ -1216,7 +1222,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "64c802de",
+   "id": "560b3106",
    "metadata": {
     "editable": true
    },
@@ -1228,7 +1234,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f4b660f8",
+   "id": "4742d327",
    "metadata": {
     "editable": true
    },
@@ -1240,7 +1246,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d592d84b",
+   "id": "d160a37f",
    "metadata": {
     "editable": true
    },
@@ -1250,7 +1256,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "265f57f6",
+   "id": "f3cde07e",
    "metadata": {
     "editable": true
    },
@@ -1262,7 +1268,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "149a5a32",
+   "id": "cf95ad5e",
    "metadata": {
     "editable": true
    },
@@ -1272,7 +1278,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fb347cb0",
+   "id": "bb614b9d",
    "metadata": {
     "editable": true
    },
@@ -1288,7 +1294,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "66b696bb",
+   "id": "19e3e8fa",
    "metadata": {
     "editable": true
    },
@@ -1300,7 +1306,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6c776311",
+   "id": "9330b34b",
    "metadata": {
     "editable": true
    },
@@ -1321,7 +1327,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b7cecfb0",
+   "id": "e648539a",
    "metadata": {
     "editable": true
    },
@@ -1332,7 +1338,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "7b1eb376",
+   "id": "d12810d3",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -1383,7 +1389,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9d97b3d7",
+   "id": "f3e95eca",
    "metadata": {
     "editable": true
    },
@@ -1394,7 +1400,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "7e853c55",
+   "id": "d6426469",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -1442,7 +1448,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b458d799",
+   "id": "8de56415",
    "metadata": {
     "editable": true
    },
@@ -1465,7 +1471,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "48d1de5e",
+   "id": "dfc59b18",
    "metadata": {
     "editable": true
    },
@@ -1478,7 +1484,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "4059e0f6",
+   "id": "79e4cc00",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -1536,7 +1542,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "da6ac07a",
+   "id": "c4700b19",
    "metadata": {
     "editable": true
    },
@@ -1547,7 +1553,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "8ab70463",
+   "id": "eb0594c5",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -1634,7 +1640,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d3761d54",
+   "id": "bbf154c4",
    "metadata": {
     "editable": true
    },
@@ -1644,7 +1650,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "780df2c0",
+   "id": "84d512fc",
    "metadata": {
     "editable": true
    },
@@ -1659,7 +1665,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8ead86e5",
+   "id": "71b8eb59",
    "metadata": {
     "editable": true
    },
@@ -1675,7 +1681,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "31266704",
+   "id": "473329b7",
    "metadata": {
     "editable": true
    },
@@ -1700,7 +1706,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2021a43b",
+   "id": "6c94f44a",
    "metadata": {
     "editable": true
    },
@@ -1746,7 +1752,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "170e1be1",
+   "id": "d9942ded",
    "metadata": {
     "editable": true
    },
@@ -1781,7 +1787,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "07f2b380",
+   "id": "7818c700",
    "metadata": {
     "editable": true
    },
@@ -1804,7 +1810,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4408cc2b",
+   "id": "cc946602",
    "metadata": {
     "editable": true
    },
@@ -1827,7 +1833,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "13833ad1",
+   "id": "c2b75185",
    "metadata": {
     "editable": true
    },
@@ -1847,7 +1853,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "690b357b",
+   "id": "4600986a",
    "metadata": {
     "editable": true
    },
@@ -1863,7 +1869,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a382da4c",
+   "id": "cfb572d5",
    "metadata": {
     "editable": true
    },
@@ -1891,7 +1897,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "aef19b0c",
+   "id": "3e38f862",
    "metadata": {
     "editable": true
    },
@@ -1909,7 +1915,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f301c68e",
+   "id": "76abe122",
    "metadata": {
     "editable": true
    },
@@ -1934,7 +1940,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7f82dc43",
+   "id": "0b246db8",
    "metadata": {
     "editable": true
    },
@@ -1952,7 +1958,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7a1117b1",
+   "id": "9a6555fc",
    "metadata": {
     "editable": true
    },
@@ -1982,7 +1988,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "90fe2084",
+   "id": "c2561e72",
    "metadata": {
     "editable": true
    },
@@ -1996,7 +2002,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bc8ad0a3",
+   "id": "796637c8",
    "metadata": {
     "editable": true
    },
@@ -2022,7 +2028,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bea1957b",
+   "id": "6afdb59e",
    "metadata": {
     "editable": true
    },
@@ -2051,7 +2057,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c1347ce6",
+   "id": "95097424",
    "metadata": {
     "editable": true
    },
@@ -2068,7 +2074,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5bcb69f0",
+   "id": "31a33cea",
    "metadata": {
     "editable": true
    },
@@ -2090,7 +2096,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "39597386",
+   "id": "d6583875",
    "metadata": {
     "editable": true
    },
@@ -2108,7 +2114,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "24cb4d77",
+   "id": "285bbf5d",
    "metadata": {
     "editable": true
    },
@@ -2131,7 +2137,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "abe0e029",
+   "id": "5b51dec9",
    "metadata": {
     "editable": true
    },
@@ -2150,7 +2156,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "be9ea72c",
+   "id": "4cb37b8f",
    "metadata": {
     "editable": true
    },
@@ -2166,7 +2172,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a85f3d50",
+   "id": "45fe33d7",
    "metadata": {
     "editable": true
    },
@@ -2181,7 +2187,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3b68f9bc",
+   "id": "3bbbaa88",
    "metadata": {
     "editable": true
    },
@@ -2205,7 +2211,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "eeb46a9a",
+   "id": "d6a9f606",
    "metadata": {
     "editable": true
    },
@@ -2217,7 +2223,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "911fc5be",
+   "id": "81aaff6e",
    "metadata": {
     "editable": true
    },
@@ -2235,7 +2241,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "44398f76",
+   "id": "9f856eb3",
    "metadata": {
     "editable": true
    },
@@ -2245,7 +2251,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d22991a2",
+   "id": "f15429d1",
    "metadata": {
     "editable": true
    },
@@ -2263,7 +2269,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c645e455",
+   "id": "e8a8f8e7",
    "metadata": {
     "editable": true
    },
@@ -2273,7 +2279,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "99a56dc1",
+   "id": "4fb17989",
    "metadata": {
     "editable": true
    },
@@ -2292,7 +2298,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9a39b491",
+   "id": "0bed5ddd",
    "metadata": {
     "editable": true
    },
@@ -2304,7 +2310,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "286d0ab5",
+   "id": "f8e64229",
    "metadata": {
     "editable": true
    },
@@ -2318,7 +2324,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e21e58ac",
+   "id": "f8f02179",
    "metadata": {
     "editable": true
    },
@@ -2333,7 +2339,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d9e99856",
+   "id": "19008689",
    "metadata": {
     "editable": true
    },
@@ -2351,7 +2357,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "da27eff3",
+   "id": "a3d31b3a",
    "metadata": {
     "editable": true
    },
@@ -2365,7 +2371,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ad466922",
+   "id": "79d29641",
    "metadata": {
     "editable": true
    },
@@ -2383,7 +2389,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e3e1a9ee",
+   "id": "4d19d779",
    "metadata": {
     "editable": true
    },
@@ -2407,7 +2413,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8a463ba1",
+   "id": "b8fa06ec",
    "metadata": {
     "editable": true
    },
@@ -2445,7 +2451,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8b88bdc9",
+   "id": "262fc510",
    "metadata": {
     "editable": true
    },
@@ -2468,7 +2474,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dcf0e541",
+   "id": "36608f14",
    "metadata": {
     "editable": true
    },
@@ -2504,7 +2510,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9d1c6243",
+   "id": "a2b4652f",
    "metadata": {
     "editable": true
    },
@@ -2525,7 +2531,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b06e1c4c",
+   "id": "8cef8c03",
    "metadata": {
     "editable": true
    },
@@ -2547,7 +2553,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8bd5d6c4",
+   "id": "df85a3e6",
    "metadata": {
     "editable": true
    },
@@ -2567,7 +2573,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "40c7ca7e",
+   "id": "f01aaa3c",
    "metadata": {
     "editable": true
    },
@@ -2582,7 +2588,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bc167c7d",
+   "id": "0005330c",
    "metadata": {
     "editable": true
    },
@@ -2600,7 +2606,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "06e830c9",
+   "id": "efcfaccf",
    "metadata": {
     "editable": true
    },
@@ -2630,7 +2636,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "51b7b00d",
+   "id": "f7b109c9",
    "metadata": {
     "editable": true
    },
@@ -2659,7 +2665,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "265badfe",
+   "id": "e9142380",
    "metadata": {
     "editable": true
    },
@@ -2690,7 +2696,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "28cda775",
+   "id": "cb638c92",
    "metadata": {
     "editable": true
    },
@@ -2713,7 +2719,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "eab731bc",
+   "id": "676fd56e",
    "metadata": {
     "editable": true
    },
@@ -2731,7 +2737,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "105015b2",
+   "id": "ac1d93d3",
    "metadata": {
     "editable": true
    },
@@ -2754,7 +2760,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ddbe105b",
+   "id": "c5047fcb",
    "metadata": {
     "editable": true
    },
@@ -2775,7 +2781,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3e53243c",
+   "id": "bdd66000",
    "metadata": {
     "editable": true
    },
@@ -2791,7 +2797,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "011485c3",
+   "id": "7fb56aeb",
    "metadata": {
     "editable": true
    },
diff --git a/doc/src/week48/week48.do.txt b/doc/src/week48/week48.do.txt
index abdaa7f1f..e1fe9a7c6 100644
--- a/doc/src/week48/week48.do.txt
+++ b/doc/src/week48/week48.do.txt
@@ -5,16 +5,9 @@ DATE: today
 !split
 ===== Overview of week 48 =====
 
+
 !split
-===== Plan for week 47 =====
-
-!bblock  Lab sessions on Tuesday and Wednesday
-  * Work and Discussion of project 3
-  * Last weekly exercise
-  * Lab sessions at usual times.
-  * For the week of December 2-6, lab sessions start at 10am and end at 4pm, room FØ434, Tuesday and Wednesday
-!eblock  
-
+===== Lecture Monday, November 25 =====
 !bblock Plans for the lecture Monday 25 November, with video suggestions etc
 o Boosting and gradient boosting and ensemble models
 o Summary of course
@@ -31,6 +24,16 @@ o Readings and Videos:
 !eblock
 
 
+!split
+===== Lab sessions =====
+!bblock  Lab sessions on Tuesday and Wednesday
+  * Work and Discussion of project 3
+  * Last weekly exercise
+  * Lab sessions at usual times.
+  * For the week of December 2-6, lab sessions start at 10am and end at 4pm, room FØ434, Tuesday and Wednesday
+!eblock  
+
+
 !split
 ===== Random Forest Algorithm, reminder from last week =====