resolve

open-machine-learning-jupyter-book/_toc.yml

@@ -80,7 +80,6 @@ parts:
     sections:
     - file: ml-advanced/ensemble-learning/bagging
     - file: ml-advanced/ensemble-learning/random-forest
-    - file: ml-advanced/ensemble-learning/stacking
     - file: ml-advanced/ensemble-learning/feature-importance
   - file: ml-advanced/gradient-boosting/introduction-to-gradient-boosting.ipynb
     sections:

open-machine-learning-jupyter-book/ml-advanced/ensemble-learning/getting-started-with-ensemble-learning.ipynb

@@ -88,11 +88,26 @@
     "\n",
     "\n",
     "$~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~$ — Page 2, Ensemble Machine Learning, 2012.\n",
-    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5ab68564",
+   "metadata": {},
+   "source": [
     "Let's look at another example of ensembles: an observation known as [Wisdom of the crowd](https://en.wikipedia.org/wiki/Wisdom_of_the_crowd). <img src=\"https://habrastorage.org/webt/zg/hw/b7/zghwb7oztkmv840odqkjpink1vw.png\" align=\"right\" width=15% height=15%> In 1906, [Francis Galton](https://en.wikipedia.org/wiki/Francis_Galton) visited a country fair in Plymouth where he saw a contest being held for farmers.   800 participants tried to estimate the weight of a slaughtered bull. The real weight of the bull was 1198 pounds. Although none of the farmers could guess the exact weight of the animal, the average of their predictions was 1197 pounds.\n",
     "\n",
     "\n",
-    "A similar idea for error reduction was adopted in the field of Ensemble Learning."
+    "A similar idea for error reduction was also adopted in the field of Ensemble Learning which is called voting."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "065ec775",
+   "metadata": {},
+   "source": [
+    "The video below will show you what is Ensemble Learning and introduce several methods of Ensemble Learning. "
    ]
   },
   {