update

doc/pub/week37/html/._week37-bs001.html

@@ -308,6 +308,7 @@ MathJax.Hub.Config({
 <ul>
     <li> Hastie et al Chapter 7, here we recommend 7.1-7.5 and 7.10 (cross-validation) and 7.11 (bootstrap).</li> 
     <li> <a href="https://www.youtube.com/watch?v=fSytzGwwBVw" target="_self">Video on cross validation</a></li>
+    <li> <a href="https://www.youtube.com/watch?v=Xz0x-8-cgaQ" target="_self">Video on Bootstrapping</a></li>
     <li> <a href="https://www.youtube.com/watch?v=EuBBz3bI-aA" target="_self">Video on bias-variance tradeoff</a></li>
 </ul>
 </ul>

doc/pub/week37/html/week37-reveal.html

@@ -232,6 +232,8 @@ MathJax.Hub.Config({
 
 <p><li> <a href="https://www.youtube.com/watch?v=fSytzGwwBVw" target="_blank">Video on cross validation</a></li>
 
+<p><li> <a href="https://www.youtube.com/watch?v=Xz0x-8-cgaQ" target="_blank">Video on Bootstrapping</a></li>
+
 <p><li> <a href="https://www.youtube.com/watch?v=EuBBz3bI-aA" target="_blank">Video on bias-variance tradeoff</a></li>
 </ul>
 <p>

doc/pub/week37/html/week37-solarized.html

@@ -281,6 +281,7 @@ MathJax.Hub.Config({
 <ul>
     <li> Hastie et al Chapter 7, here we recommend 7.1-7.5 and 7.10 (cross-validation) and 7.11 (bootstrap).</li> 
     <li> <a href="https://www.youtube.com/watch?v=fSytzGwwBVw" target="_blank">Video on cross validation</a></li>
+    <li> <a href="https://www.youtube.com/watch?v=Xz0x-8-cgaQ" target="_blank">Video on Bootstrapping</a></li>
     <li> <a href="https://www.youtube.com/watch?v=EuBBz3bI-aA" target="_blank">Video on bias-variance tradeoff</a></li>
 </ul>
 </ul>

doc/pub/week37/html/week37.html

@@ -358,6 +358,7 @@ MathJax.Hub.Config({
 <ul>
     <li> Hastie et al Chapter 7, here we recommend 7.1-7.5 and 7.10 (cross-validation) and 7.11 (bootstrap).</li> 
     <li> <a href="https://www.youtube.com/watch?v=fSytzGwwBVw" target="_blank">Video on cross validation</a></li>
+    <li> <a href="https://www.youtube.com/watch?v=Xz0x-8-cgaQ" target="_blank">Video on Bootstrapping</a></li>
     <li> <a href="https://www.youtube.com/watch?v=EuBBz3bI-aA" target="_blank">Video on bias-variance tradeoff</a></li>
 </ul>
 </ul>

doc/src/week37/programs/codeexamplesscaling.ipynb

@@ -547,7 +547,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 45,
    "id": "a721dffd",
    "metadata": {},
    "outputs": [
@@ -555,13 +555,13 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[0.  0.5 3.7]\n",
-      "[0.         0.49997445 3.69992817]\n",
-      "2.000000000000007\n",
+      "[0.5 3.7]\n",
+      "[0.49997445 3.69992817]\n",
+      "1.9999999999999947\n",
       "2.00021345091295\n",
       "  \n",
       "test MSE of OLS\n",
-      "3.729339929432333e-29\n",
+      "1.7086727207087115e-28\n",
       "  \n",
       "test MSE of Ridge\n",
       "6.420926689334773e-08\n"
@@ -582,7 +582,7 @@
     "from sklearn import linear_model\n",
     "np.random.seed(2018)\n",
     "n = 100\n",
-    "d = 3\n",
+    "d = 2\n",
     "Lambda = 0.01\n",
     "true_beta = [2, 0.5, 3.7]\n",
     "\n",
@@ -595,7 +595,7 @@
     "#Design matrix X does include the intercept. \n",
     "X = np.zeros((n, d))\n",
     "for p in range(d):     \n",
-    "    X[:, p] = x ** (p)\n",
+    "    X[:, p] = x ** (p+1)\n",
     "\n",
     "\n",
     "#Split data in train and test\n",
@@ -644,7 +644,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "8b3b48ac",
+   "id": "cf021a10",
    "metadata": {},
    "outputs": [],
    "source": []

doc/src/week37/week37.do.txt

@@ -21,6 +21,7 @@ DATE: today
   * Reads and Videos:
     * Hastie et al Chapter 7, here we recommend 7.1-7.5 and 7.10 (cross-validation) and 7.11 (bootstrap). 
     * "Video on cross validation":"https://www.youtube.com/watch?v=fSytzGwwBVw"
+    * "Video on Bootstrapping":"https://www.youtube.com/watch?v=Xz0x-8-cgaQ"
     * "Video on bias-variance tradeoff":"https://www.youtube.com/watch?v=EuBBz3bI-aA"
 !eblock