Update documentation

_sources/lectures/19_time-series.ipynb

@@ -26,6 +26,17 @@
     "Instructor: Varada Kolhatkar and Andrew Roth"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![](img/time-series-dall-e.png)\n",
+    "\n",
+    "The picture is created using DALL-E! \n",
+    "\n",
+    "> This illustration shows a cityscape with skyscrapers, each featuring digital billboards displaying time-series graphs. These graphs represent various types of data such as stock market trends, weather patterns, and population growth, set against the backdrop of a bustling city with people of diverse descents and genders. This setting should provide a compelling and relatable context for your introduction to time-series lecture."
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {

lectures/17_natural-language-processing.html

@@ -500,7 +500,7 @@ <h2>Imports<a class="headerlink" href="#imports" title="Permalink to this headin
 Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.
 </pre></div>
 </div>
-<img alt="../_images/5689cab71a2d023300ef20dfc08bbfc9cf748e06c02206162b2d87cd6b47bebc.png" src="../_images/5689cab71a2d023300ef20dfc08bbfc9cf748e06c02206162b2d87cd6b47bebc.png" />
+<img alt="../_images/17cb0028e34ef8aca7bd2ca2f2039d88493fe841bc991cd7bb3969a4c91966f0.png" src="../_images/17cb0028e34ef8aca7bd2ca2f2039d88493fe841bc991cd7bb3969a4c91966f0.png" />
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lectures/19_time-series.html

@@ -418,6 +418,11 @@ <h2> Contents </h2>
 <h1>Lecture 19: Time series<a class="headerlink" href="#lecture-19-time-series" title="Permalink to this heading">#</a></h1>
 <p>UBC 2023-24</p>
 <p>Instructor: Varada Kolhatkar and Andrew Roth</p>
+<p><img alt="" src="../_images/time-series-dall-e.png" /></p>
+<p>The picture is created using DALL-E!</p>
+<blockquote>
+<div><p>This illustration shows a cityscape with skyscrapers, each featuring digital billboards displaying time-series graphs. These graphs represent various types of data such as stock market trends, weather patterns, and population growth, set against the backdrop of a bustling city with people of diverse descents and genders. This setting should provide a compelling and relatable context for your introduction to time-series lecture.</p>
+</div></blockquote>
 <section id="imports-announcements-lo">
 <h2>Imports, announcements, LO<a class="headerlink" href="#imports-announcements-lo" title="Permalink to this heading">#</a></h2>
 <section id="imports">
@@ -2330,7 +2335,7 @@ <h2>Lag-based features<a class="headerlink" href="#lag-based-features" title="Pe
 Test-set R^2: 0.69
 </pre></div>
 </div>
-<img alt="../_images/962a15d27c08b76884629e4a09173c3a2616c7daf78f0b4396a19a7f1bd09b38.png" src="../_images/962a15d27c08b76884629e4a09173c3a2616c7daf78f0b4396a19a7f1bd09b38.png" />
+<img alt="../_images/332f7fb5059e8aa63cd4e626942c06be6239b23050894e9d482a6966e86209ed.png" src="../_images/332f7fb5059e8aa63cd4e626942c06be6239b23050894e9d482a6966e86209ed.png" />
 </div>
 </div>
 <p>The results are better than <code class="docutils literal notranslate"><span class="pre">Ridge</span></code> with lag features but they are not as good as the results with our previously engineered features. How about combining lag-based features and the previously extracted features?</p>
@@ -2349,11 +2354,11 @@ <h2>Lag-based features<a class="headerlink" href="#lag-based-features" title="Pe
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Train-set R^2: 0.95
-Test-set R^2: 0.81
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Train-set R^2: 0.96
+Test-set R^2: 0.80
 </pre></div>
 </div>
-<img alt="../_images/c08f86cea0da2332b3a196db5d3390cc21994b5430be9b839d21ab9f5081e989.png" src="../_images/c08f86cea0da2332b3a196db5d3390cc21994b5430be9b839d21ab9f5081e989.png" />
+<img alt="../_images/7e340328569f28198ac43ab844a588c3a94ef2d869929950fd3c32b064e95beb.png" src="../_images/7e340328569f28198ac43ab844a588c3a94ef2d869929950fd3c32b064e95beb.png" />
 </div>
 </div>
 <p>Some improvement but we are getting better results without the lag features in this case.</p>
@@ -2453,36 +2458,36 @@ <h3>Cross-validation<a class="headerlink" href="#cross-validation" title="Permal
   <tbody>
     <tr>
       <th>0</th>
-      <td>0.001153</td>
-      <td>0.000276</td>
+      <td>0.001105</td>
+      <td>0.000297</td>
       <td>0.642676</td>
       <td>0.873182</td>
     </tr>
     <tr>
       <th>1</th>
-      <td>0.000582</td>
-      <td>0.000271</td>
+      <td>0.000535</td>
+      <td>0.000227</td>
       <td>0.828405</td>
       <td>0.874305</td>
     </tr>
     <tr>
       <th>2</th>
-      <td>0.000849</td>
-      <td>0.000296</td>
+      <td>0.001032</td>
+      <td>0.000753</td>
       <td>0.773851</td>
       <td>0.901262</td>
     </tr>
     <tr>
       <th>3</th>
-      <td>0.000994</td>
-      <td>0.000748</td>
+      <td>0.000945</td>
+      <td>0.000597</td>
       <td>0.696712</td>
       <td>0.889429</td>
     </tr>
     <tr>
       <th>4</th>
-      <td>0.000959</td>
-      <td>0.000304</td>
+      <td>0.000929</td>
+      <td>0.000287</td>
       <td>0.892733</td>
       <td>0.863889</td>
     </tr>

lectures/class_demos/14_class-demo.html

@@ -387,7 +387,7 @@ <h2>Let’s cluster images!!<a class="headerlink" href="#let-s-cluster-images" t
 Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.
 </pre></div>
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+<img alt="../../_images/20031552772bb9c2966ff9377aa840b09e8b492ec7448791d3aff0752da5df45.png" src="../../_images/20031552772bb9c2966ff9377aa840b09e8b492ec7448791d3aff0752da5df45.png" />
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lectures/class_demos/15_class-demo.html

@@ -380,7 +380,7 @@ <h1>Lecture 15: Class demo<a class="headerlink" href="#lecture-15-class-demo" ti
 Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.
 </pre></div>
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-<img alt="../../_images/677e0a4cd1a99211e9badf13c46c091f1a395e026378a1cbcb8f253ffd9f06c2.png" src="../../_images/677e0a4cd1a99211e9badf13c46c091f1a395e026378a1cbcb8f253ffd9f06c2.png" />
+<img alt="../../_images/81880b22cbff8195d2839d72b073af99c325b5df2788819f1a3188759c8376f8.png" src="../../_images/81880b22cbff8195d2839d72b073af99c325b5df2788819f1a3188759c8376f8.png" />
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