minor lecture edits

eecs445-f16 · Nov 22, 2016 · 7c90eb4 · 7c90eb4
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diff --git a/handsOn_lecture18_gmm-hmm/handsOn_lecture18_gmm-hmm.ipynb b/handsOn_lecture18_gmm-hmm/handsOn_lecture18_gmm-hmm.ipynb
@@ -381,11 +381,12 @@
   }
  ],
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   "celltoolbar": "Slideshow",
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+   "display_name": "Python [default]",
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+   "name": "python3"
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@@ -397,7 +398,7 @@
    "name": "python",
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diff --git a/lecture19_baum-welch-pgm-inference/lecture19_baum-welch-pgm-inference.ipynb b/lecture19_baum-welch-pgm-inference/lecture19_baum-welch-pgm-inference.ipynb
@@ -120,12 +120,12 @@
     }
    },
    "source": [
-    "# EECS 545:  Machine Learning\n",
+    "# EECS 445:  Machine Learning\n",
     "\n",
-    "## Lecture 18:  Inference & Applications of PGMs\n",
+    "## Lecture 19: Baum-Welch Algorithm, and Inference in PGMs\n",
     "\n",
     "- Instructor:  **Jacob Abernethy**\n",
-    "- Date:  March 23, 2016\n",
+    "- Date:  November 21, 2016\n",
     "\n",
     "*Lecture Exposition:*  Benjamin Bray"
    ]
@@ -608,7 +608,7 @@
     "$$\n",
     "\\begin{align}\n",
     "\\log p(z_1 | \\pi)\n",
-    "    &= \\sum_{j=1}^N \\mathbb{I}(z_t=j) \\log \\pi_j \\\\\n",
+    "    &= \\sum_{j=1}^N \\mathbb{I}(z_1=j) \\log \\pi_j \\\\\n",
     "\\log p(z_t | z_{t-1}, A)\n",
     "    &= \\sum_{i=1}^N \\sum_{j=1}^N \n",
     "        \\mathbb{I}(z_{t-1}=i)\\mathbb{I}(z_t=j) \\log A_{ij} \\\\\n",
@@ -1860,23 +1860,24 @@
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diff --git a/lecture19_baum-welch-pgm-inference/lecture19_baum-welch-pgm-inference.pdf b/lecture19_baum-welch-pgm-inference/lecture19_baum-welch-pgm-inference.pdf