diff --git a/doc/pub/week34/html/._week34-bs009.html b/doc/pub/week34/html/._week34-bs009.html
index 262f98ef6..e078d37db 100644
--- a/doc/pub/week34/html/._week34-bs009.html
+++ b/doc/pub/week34/html/._week34-bs009.html
@@ -362,7 +362,8 @@ MathJax.Hub.Config({
 <ul>
 <li> <a href="https://www.deeplearningbook.org/" target="_self">Goodfellow, Bengio, and Courville (GBC), Deep Learning</a></li>
 <li> Christopher M. Bishop (CB), Pattern Recognition and Machine Learning</li>
-<li> Hastie, Tibshirani, and Friedman (HTF), The Elements of Statistical Learning, Springer, <a href="https://www.springer.com/gp/book/9780387848570" target="_self"><tt>https://www.springer.com/gp/book/9780387848570</tt></a>.* Aurelien Geron (AG), Hands&#8209;On Machine Learning with Scikit&#8209;Learn and TensorFlow, O'Reilly, <a href="https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/." target="_self"><tt>https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/.</tt></a> This text is very useful since it contains many code examples and hands-on applications of all algorithms discussed in this course.</li>
+<li> "Hastie, Tibshirani, and Friedman (HTF), The Elements of Statistical Learning, Springer, <a href="https://www.springer.com/gp/book/9780387848570" target="_self"><tt>https://www.springer.com/gp/book/9780387848570</tt></a>.</li>
+<li> <a href="https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/" target="_self">Aurelien Geron (AG), Hands&#8209;On Machine Learning with Scikit&#8209;Learn and TensorFlow, O'Reilly</a>. This text is very useful since it contains many code examples and hands-on applications of all algorithms discussed in this course.</li>
 <li> <a href="https://probml.github.io/pml-book/book1.html" target="_self">Kevin Murphy (KM), Probabilistic Machine Learning, an Introduction</a></li>
 </ul>
 </div>
diff --git a/doc/pub/week34/html/week34-reveal.html b/doc/pub/week34/html/week34-reveal.html
index d2ce03a1d..37131beae 100644
--- a/doc/pub/week34/html/week34-reveal.html
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@@ -347,7 +347,8 @@ MathJax.Hub.Config({
 <ul>
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 <p><li> Christopher M. Bishop (CB), Pattern Recognition and Machine Learning</li>
-<p><li> Hastie, Tibshirani, and Friedman (HTF), The Elements of Statistical Learning, Springer, <a href="https://www.springer.com/gp/book/9780387848570" target="_blank"><tt>https://www.springer.com/gp/book/9780387848570</tt></a>.* Aurelien Geron (AG), Hands&#8209;On Machine Learning with Scikit&#8209;Learn and TensorFlow, O'Reilly, <a href="https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/." target="_blank"><tt>https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/.</tt></a> This text is very useful since it contains many code examples and hands-on applications of all algorithms discussed in this course.</li>
+<p><li> "Hastie, Tibshirani, and Friedman (HTF), The Elements of Statistical Learning, Springer, <a href="https://www.springer.com/gp/book/9780387848570" target="_blank"><tt>https://www.springer.com/gp/book/9780387848570</tt></a>.</li>
+<p><li> <a href="https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/" target="_blank">Aurelien Geron (AG), Hands&#8209;On Machine Learning with Scikit&#8209;Learn and TensorFlow, O'Reilly</a>. This text is very useful since it contains many code examples and hands-on applications of all algorithms discussed in this course.</li>
 <p><li> <a href="https://probml.github.io/pml-book/book1.html" target="_blank">Kevin Murphy (KM), Probabilistic Machine Learning, an Introduction</a></li>
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diff --git a/doc/pub/week34/html/week34-solarized.html b/doc/pub/week34/html/week34-solarized.html
index c63d3e7e9..e08c54e1d 100644
--- a/doc/pub/week34/html/week34-solarized.html
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@@ -425,7 +425,8 @@ MathJax.Hub.Config({
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 <li> <a href="https://www.deeplearningbook.org/" target="_blank">Goodfellow, Bengio, and Courville (GBC), Deep Learning</a></li>
 <li> Christopher M. Bishop (CB), Pattern Recognition and Machine Learning</li>
-<li> Hastie, Tibshirani, and Friedman (HTF), The Elements of Statistical Learning, Springer, <a href="https://www.springer.com/gp/book/9780387848570" target="_blank"><tt>https://www.springer.com/gp/book/9780387848570</tt></a>.* Aurelien Geron (AG), Hands&#8209;On Machine Learning with Scikit&#8209;Learn and TensorFlow, O'Reilly, <a href="https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/." target="_blank"><tt>https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/.</tt></a> This text is very useful since it contains many code examples and hands-on applications of all algorithms discussed in this course.</li>
+<li> "Hastie, Tibshirani, and Friedman (HTF), The Elements of Statistical Learning, Springer, <a href="https://www.springer.com/gp/book/9780387848570" target="_blank"><tt>https://www.springer.com/gp/book/9780387848570</tt></a>.</li>
+<li> <a href="https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/" target="_blank">Aurelien Geron (AG), Hands&#8209;On Machine Learning with Scikit&#8209;Learn and TensorFlow, O'Reilly</a>. This text is very useful since it contains many code examples and hands-on applications of all algorithms discussed in this course.</li>
 <li> <a href="https://probml.github.io/pml-book/book1.html" target="_blank">Kevin Murphy (KM), Probabilistic Machine Learning, an Introduction</a></li>
 </ul>
 </div>
diff --git a/doc/pub/week34/html/week34.html b/doc/pub/week34/html/week34.html
index a084049f9..d080ab46d 100644
--- a/doc/pub/week34/html/week34.html
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@@ -502,7 +502,8 @@ MathJax.Hub.Config({
 <ul>
 <li> <a href="https://www.deeplearningbook.org/" target="_blank">Goodfellow, Bengio, and Courville (GBC), Deep Learning</a></li>
 <li> Christopher M. Bishop (CB), Pattern Recognition and Machine Learning</li>
-<li> Hastie, Tibshirani, and Friedman (HTF), The Elements of Statistical Learning, Springer, <a href="https://www.springer.com/gp/book/9780387848570" target="_blank"><tt>https://www.springer.com/gp/book/9780387848570</tt></a>.* Aurelien Geron (AG), Hands&#8209;On Machine Learning with Scikit&#8209;Learn and TensorFlow, O'Reilly, <a href="https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/." target="_blank"><tt>https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/.</tt></a> This text is very useful since it contains many code examples and hands-on applications of all algorithms discussed in this course.</li>
+<li> "Hastie, Tibshirani, and Friedman (HTF), The Elements of Statistical Learning, Springer, <a href="https://www.springer.com/gp/book/9780387848570" target="_blank"><tt>https://www.springer.com/gp/book/9780387848570</tt></a>.</li>
+<li> <a href="https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/" target="_blank">Aurelien Geron (AG), Hands&#8209;On Machine Learning with Scikit&#8209;Learn and TensorFlow, O'Reilly</a>. This text is very useful since it contains many code examples and hands-on applications of all algorithms discussed in this course.</li>
 <li> <a href="https://probml.github.io/pml-book/book1.html" target="_blank">Kevin Murphy (KM), Probabilistic Machine Learning, an Introduction</a></li>
 </ul>
 </div>
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index ffdf1d3dd..a3589b149 100644
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     "\n",
     "* Christopher M. Bishop (CB), Pattern Recognition and Machine Learning\n",
     "\n",
-    "* Hastie, Tibshirani, and Friedman (HTF), The Elements of Statistical Learning, Springer, <https://www.springer.com/gp/book/9780387848570>.* Aurelien Geron (AG), Hands‑On Machine Learning with Scikit‑Learn and TensorFlow, O'Reilly, <https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/.> This text is very useful since it contains many code examples and hands-on applications of all algorithms discussed in this course.\n",
+    "* \"Hastie, Tibshirani, and Friedman (HTF), The Elements of Statistical Learning, Springer, <https://www.springer.com/gp/book/9780387848570>.\n",
+    "\n",
+    "* [Aurelien Geron (AG), Hands‑On Machine Learning with Scikit‑Learn and TensorFlow, O'Reilly](https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/). This text is very useful since it contains many code examples and hands-on applications of all algorithms discussed in this course.\n",
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    ]
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@@ -1240,7 +1242,7 @@
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-   "id": "89246834",
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@@ -1256,7 +1258,7 @@
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@@ -1267,7 +1269,7 @@
   {
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-   "id": "552c67bb",
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@@ -1283,7 +1285,7 @@
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@@ -1295,7 +1297,7 @@
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@@ -1310,7 +1312,7 @@
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@@ -1320,7 +1322,7 @@
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@@ -1332,7 +1334,7 @@
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@@ -1343,7 +1345,7 @@
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@@ -1358,7 +1360,7 @@
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@@ -1373,7 +1375,7 @@
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@@ -1400,7 +1402,7 @@
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@@ -1424,7 +1426,7 @@
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@@ -1450,7 +1452,7 @@
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@@ -1470,7 +1472,7 @@
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@@ -1484,7 +1486,7 @@
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-   "id": "95d8bc36",
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@@ -1497,7 +1499,7 @@
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@@ -1508,7 +1510,7 @@
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@@ -1520,7 +1522,7 @@
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@@ -1531,7 +1533,7 @@
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@@ -1549,7 +1551,7 @@
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@@ -1561,7 +1563,7 @@
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@@ -1585,7 +1587,7 @@
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@@ -1596,7 +1598,7 @@
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-   "id": "dd0539a9",
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@@ -1625,7 +1627,7 @@
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@@ -1636,7 +1638,7 @@
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@@ -1651,7 +1653,7 @@
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@@ -1668,7 +1670,7 @@
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@@ -1699,7 +1701,7 @@
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@@ -1711,7 +1713,7 @@
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@@ -1739,7 +1741,7 @@
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-   "id": "9fa4bbcb",
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@@ -1769,7 +1771,7 @@
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@@ -1786,7 +1788,7 @@
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@@ -1798,7 +1800,7 @@
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@@ -1819,7 +1821,7 @@
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@@ -1832,7 +1834,7 @@
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@@ -1863,7 +1865,7 @@
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@@ -1875,7 +1877,7 @@
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@@ -1893,7 +1895,7 @@
   {
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-   "id": "cc660a68",
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@@ -1920,7 +1922,7 @@
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@@ -1942,7 +1944,7 @@
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-   "id": "af4c4e47",
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@@ -1980,7 +1982,7 @@
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@@ -1991,7 +1993,7 @@
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@@ -2004,7 +2006,7 @@
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@@ -2025,7 +2027,7 @@
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@@ -2037,7 +2039,7 @@
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@@ -2047,7 +2049,7 @@
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@@ -2059,7 +2061,7 @@
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@@ -2071,7 +2073,7 @@
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@@ -2083,7 +2085,7 @@
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@@ -2094,7 +2096,7 @@
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@@ -2106,7 +2108,7 @@
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+   "id": "93283f7e",
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@@ -2128,7 +2130,7 @@
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+   "id": "a38b0d8f",
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@@ -2140,7 +2142,7 @@
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+   "id": "3863a0d6",
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@@ -2153,7 +2155,7 @@
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@@ -2170,7 +2172,7 @@
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@@ -2182,7 +2184,7 @@
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+   "id": "2550dc2b",
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@@ -2192,7 +2194,7 @@
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@@ -2204,7 +2206,7 @@
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@@ -2214,7 +2216,7 @@
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@@ -2226,7 +2228,7 @@
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@@ -2236,7 +2238,7 @@
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@@ -2248,7 +2250,7 @@
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@@ -2264,7 +2266,7 @@
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@@ -2276,7 +2278,7 @@
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@@ -2287,7 +2289,7 @@
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@@ -2299,7 +2301,7 @@
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@@ -2313,7 +2315,7 @@
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@@ -2325,7 +2327,7 @@
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@@ -2350,7 +2352,7 @@
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@@ -2367,7 +2369,7 @@
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-   "id": "133f09c4",
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@@ -2411,7 +2413,7 @@
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@@ -2422,7 +2424,7 @@
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-   "id": "087a14a0",
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@@ -2444,7 +2446,7 @@
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@@ -2461,7 +2463,7 @@
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-   "id": "ad8f4407",
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@@ -2482,7 +2484,7 @@
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@@ -2496,7 +2498,7 @@
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-   "id": "fdd76648",
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@@ -2525,7 +2527,7 @@
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@@ -2545,7 +2547,7 @@
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-   "id": "621e20ac",
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@@ -2562,7 +2564,7 @@
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@@ -2574,7 +2576,7 @@
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-   "id": "aa0e9a20",
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     "editable": true
@@ -2592,7 +2594,7 @@
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@@ -2603,7 +2605,7 @@
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-   "id": "8331d1bc",
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@@ -2616,7 +2618,7 @@
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@@ -2628,7 +2630,7 @@
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-   "id": "5470d2b3",
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@@ -2659,7 +2661,7 @@
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@@ -2673,7 +2675,7 @@
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-   "id": "d4701089",
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@@ -2713,7 +2715,7 @@
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@@ -2733,7 +2735,7 @@
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@@ -2765,7 +2767,7 @@
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@@ -2787,7 +2789,7 @@
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@@ -2815,7 +2817,7 @@
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@@ -2830,7 +2832,7 @@
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+   "id": "a2340a04",
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@@ -2842,7 +2844,7 @@
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@@ -2857,7 +2859,7 @@
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@@ -2870,7 +2872,7 @@
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+   "id": "54c4f46e",
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@@ -2882,7 +2884,7 @@
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@@ -2892,7 +2894,7 @@
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@@ -2903,7 +2905,7 @@
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@@ -2921,7 +2923,7 @@
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@@ -2932,7 +2934,7 @@
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@@ -2944,7 +2946,7 @@
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@@ -2954,7 +2956,7 @@
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@@ -2966,7 +2968,7 @@
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@@ -2976,7 +2978,7 @@
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@@ -2988,7 +2990,7 @@
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@@ -2998,7 +3000,7 @@
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@@ -3017,7 +3019,7 @@
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@@ -3027,7 +3029,7 @@
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@@ -3039,7 +3041,7 @@
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@@ -3049,7 +3051,7 @@
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@@ -3065,7 +3067,7 @@
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@@ -3085,7 +3087,7 @@
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@@ -3095,7 +3097,7 @@
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@@ -3106,7 +3108,7 @@
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@@ -3125,7 +3127,7 @@
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@@ -3135,7 +3137,7 @@
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@@ -3147,7 +3149,7 @@
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@@ -3157,7 +3159,7 @@
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@@ -3168,7 +3170,7 @@
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@@ -3188,7 +3190,7 @@
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@@ -3200,7 +3202,7 @@
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@@ -3215,7 +3217,7 @@
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@@ -3295,7 +3297,7 @@
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@@ -3305,7 +3307,7 @@
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@@ -3317,7 +3319,7 @@
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@@ -3327,7 +3329,7 @@
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@@ -3338,7 +3340,7 @@
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@@ -3350,7 +3352,7 @@
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@@ -3360,7 +3362,7 @@
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@@ -3372,7 +3374,7 @@
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@@ -3382,7 +3384,7 @@
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@@ -3394,7 +3396,7 @@
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@@ -3407,7 +3409,7 @@
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@@ -3419,7 +3421,7 @@
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@@ -3429,7 +3431,7 @@
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@@ -3441,7 +3443,7 @@
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@@ -3453,7 +3455,7 @@
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@@ -3464,7 +3466,7 @@
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@@ -3476,7 +3478,7 @@
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@@ -3495,7 +3497,7 @@
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@@ -3508,7 +3510,7 @@
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@@ -3518,7 +3520,7 @@
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@@ -3530,7 +3532,7 @@
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@@ -3540,7 +3542,7 @@
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@@ -3552,7 +3554,7 @@
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@@ -3562,7 +3564,7 @@
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@@ -3574,7 +3576,7 @@
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@@ -3585,7 +3587,7 @@
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@@ -3597,7 +3599,7 @@
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@@ -3607,7 +3609,7 @@
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@@ -3619,7 +3621,7 @@
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@@ -3629,7 +3631,7 @@
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@@ -3641,7 +3643,7 @@
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@@ -3662,7 +3664,7 @@
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@@ -3676,7 +3678,7 @@
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@@ -3687,7 +3689,7 @@
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@@ -3699,7 +3701,7 @@
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@@ -3709,7 +3711,7 @@
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@@ -3721,7 +3723,7 @@
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@@ -3731,7 +3733,7 @@
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@@ -3743,7 +3745,7 @@
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@@ -3755,7 +3757,7 @@
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@@ -3769,7 +3771,7 @@
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@@ -3784,7 +3786,7 @@
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@@ -3795,7 +3797,7 @@
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@@ -3808,7 +3810,7 @@
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@@ -3819,7 +3821,7 @@
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@@ -3842,7 +3844,7 @@
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@@ -3856,7 +3858,7 @@
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@@ -3869,7 +3871,7 @@
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@@ -3880,7 +3882,7 @@
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@@ -3892,7 +3894,7 @@
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@@ -3903,7 +3905,7 @@
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@@ -3919,7 +3921,7 @@
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@@ -3930,7 +3932,7 @@
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@@ -3944,7 +3946,7 @@
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@@ -3966,7 +3968,7 @@
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@@ -3978,7 +3980,7 @@
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@@ -3988,7 +3990,7 @@
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@@ -4000,7 +4002,7 @@
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@@ -4012,7 +4014,7 @@
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@@ -4022,7 +4024,7 @@
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@@ -4034,7 +4036,7 @@
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@@ -4044,7 +4046,7 @@
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@@ -4056,7 +4058,7 @@
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@@ -4066,7 +4068,7 @@
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@@ -4078,7 +4080,7 @@
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@@ -4090,7 +4092,7 @@
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@@ -4100,7 +4102,7 @@
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@@ -4112,7 +4114,7 @@
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@@ -4122,7 +4124,7 @@
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@@ -4134,7 +4136,7 @@
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@@ -4146,7 +4148,7 @@
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@@ -4158,7 +4160,7 @@
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@@ -4168,7 +4170,7 @@
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@@ -4180,7 +4182,7 @@
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@@ -4190,7 +4192,7 @@
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@@ -4202,7 +4204,7 @@
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@@ -4212,7 +4214,7 @@
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   {
    "cell_type": "markdown",
-   "id": "7e4e05da",
+   "id": "8bda1db1",
    "metadata": {
     "editable": true
    },
@@ -4224,7 +4226,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "721d16ed",
+   "id": "cd45921f",
    "metadata": {
     "editable": true
    },
@@ -4235,7 +4237,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9e49c198",
+   "id": "024a7770",
    "metadata": {
     "editable": true
    },
@@ -4247,7 +4249,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4f9cde52",
+   "id": "64e5e11f",
    "metadata": {
     "editable": true
    },
@@ -4257,7 +4259,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "46eba7a1",
+   "id": "e945a09d",
    "metadata": {
     "editable": true
    },
@@ -4269,7 +4271,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "85a298df",
+   "id": "6f4f681f",
    "metadata": {
     "editable": true
    },
@@ -4279,7 +4281,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a96cda72",
+   "id": "0757174e",
    "metadata": {
     "editable": true
    },
@@ -4291,7 +4293,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4f64879c",
+   "id": "4dd823b9",
    "metadata": {
     "editable": true
    },
@@ -4304,7 +4306,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dbd6f24d",
+   "id": "b267dcd3",
    "metadata": {
     "editable": true
    },
@@ -4316,7 +4318,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5bed4b50",
+   "id": "38f7416a",
    "metadata": {
     "editable": true
    },
@@ -4328,7 +4330,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e5376aa0",
+   "id": "fab34931",
    "metadata": {
     "editable": true
    },
@@ -4340,7 +4342,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3c0a2c9b",
+   "id": "44eadb46",
    "metadata": {
     "editable": true
    },
@@ -4352,7 +4354,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "31285e23",
+   "id": "13a1df80",
    "metadata": {
     "editable": true
    },
@@ -4364,7 +4366,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "33fb58e7",
+   "id": "cee0832e",
    "metadata": {
     "editable": true
    },
@@ -4374,7 +4376,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8084139c",
+   "id": "a5f28ca4",
    "metadata": {
     "editable": true
    },
@@ -4386,7 +4388,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7a50ce9c",
+   "id": "c9c5c8f2",
    "metadata": {
     "editable": true
    },
@@ -4398,7 +4400,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "50ed9180",
+   "id": "8acf1764",
    "metadata": {
     "editable": true
    },
@@ -4411,7 +4413,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7b7d8b0d",
+   "id": "0c0f6b1d",
    "metadata": {
     "editable": true
    },
@@ -4438,7 +4440,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6b751c2d",
+   "id": "cc01bc44",
    "metadata": {
     "editable": true
    },
@@ -4449,7 +4451,7 @@
   {
    "cell_type": "code",
    "execution_count": 44,
-   "id": "bb73d152",
+   "id": "546f877c",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -4545,7 +4547,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a6c0341d",
+   "id": "ad65bd6a",
    "metadata": {
     "editable": true
    },
@@ -4560,7 +4562,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0d40224a",
+   "id": "01cbc753",
    "metadata": {
     "editable": true
    },
@@ -4582,7 +4584,7 @@
   {
    "cell_type": "code",
    "execution_count": 45,
-   "id": "ed0c252a",
+   "id": "f7c23b2a",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -4657,7 +4659,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bb0e0950",
+   "id": "b0bdb6dc",
    "metadata": {
     "editable": true
    },
@@ -4669,7 +4671,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b903607d",
+   "id": "5f16aa82",
    "metadata": {
     "editable": true
    },
@@ -4738,7 +4740,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3e5382a1",
+   "id": "b1c16d9c",
    "metadata": {
     "editable": true
    },
@@ -4752,7 +4754,7 @@
   {
    "cell_type": "code",
    "execution_count": 46,
-   "id": "b9efaacc",
+   "id": "be31de5b",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -4765,7 +4767,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dad5e434",
+   "id": "08fc1fec",
    "metadata": {
     "editable": true
    },
@@ -4779,7 +4781,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "220c0b8b",
+   "id": "629d1a0d",
    "metadata": {
     "editable": true
    },
@@ -4792,7 +4794,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "baf69d5c",
+   "id": "da27be39",
    "metadata": {
     "editable": true
    },
@@ -4803,7 +4805,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9b8f51aa",
+   "id": "37f01a24",
    "metadata": {
     "editable": true
    },
@@ -4815,7 +4817,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e7ecf40d",
+   "id": "5bb4679c",
    "metadata": {
     "editable": true
    },
@@ -4825,7 +4827,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "060cc029",
+   "id": "288bcc47",
    "metadata": {
     "editable": true
    },
@@ -4837,7 +4839,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "01d833b9",
+   "id": "18cebb44",
    "metadata": {
     "editable": true
    },
@@ -4848,7 +4850,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "91a24338",
+   "id": "4d229423",
    "metadata": {
     "editable": true
    },
@@ -4867,7 +4869,7 @@
   {
    "cell_type": "code",
    "execution_count": 47,
-   "id": "d2ea920d",
+   "id": "a68c7c73",
    "metadata": {
     "collapsed": false,
     "editable": true
@@ -4883,7 +4885,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "315e8f30",
+   "id": "d7b8a50d",
    "metadata": {
     "editable": true
    },
@@ -4893,7 +4895,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c0c2b0a4",
+   "id": "7d1dad05",
    "metadata": {
     "editable": true
    },
@@ -4904,7 +4906,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b5cc5079",
+   "id": "995f4820",
    "metadata": {
     "editable": true
    },
@@ -4915,7 +4917,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bf0d626d",
+   "id": "192a2067",
    "metadata": {
     "editable": true
    },
diff --git a/doc/src/week34/week34.do.txt b/doc/src/week34/week34.do.txt
index 42f2a8802..a75d49cc6 100644
--- a/doc/src/week34/week34.do.txt
+++ b/doc/src/week34/week34.do.txt
@@ -116,7 +116,8 @@ In addition to the lecture notes, we recommend the books of Bishop, Hastie et al
 !bblock
 * "Goodfellow, Bengio, and Courville (GBC), Deep Learning":"https://www.deeplearningbook.org/"
 * Christopher M. Bishop (CB), Pattern Recognition and Machine Learning
-* Hastie, Tibshirani, and Friedman (HTF), The Elements of Statistical Learning, Springer, URL:"https://www.springer.com/gp/book/9780387848570".* Aurelien Geron (AG), Hands‑On Machine Learning with Scikit‑Learn and TensorFlow, O'Reilly, https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/. This text is very useful since it contains many code examples and hands-on applications of all algorithms discussed in this course.
+* "Hastie, Tibshirani, and Friedman (HTF), The Elements of Statistical Learning, Springer, URL:"https://www.springer.com/gp/book/9780387848570".
+* "Aurelien Geron (AG), Hands‑On Machine Learning with Scikit‑Learn and TensorFlow, O'Reilly":"https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/". This text is very useful since it contains many code examples and hands-on applications of all algorithms discussed in this course.
 * "Kevin Murphy (KM), Probabilistic Machine Learning, an Introduction":"https://probml.github.io/pml-book/book1.html"
 !eblock