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Add videos for module on ensemble methods
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<!doctype html>
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<html>
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<head>
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<meta charset="utf-8">
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<title>video_bagging</title>
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<script>
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window.stringsLanguage = 'en';
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</script>
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<script class="remove" type="text/javascript" src="../../_common/modules/pemFioi/importModules-1.4-mobileFirst.js" id="import-modules"></script>
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<script class="remove" type="text/javascript">
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var modulesPath = '../../_common/modules';
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importModules([
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'jquery-1.7.1', 'JSON-js', 'raphael-2.2.1', 'jschannel',
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'platform-pr', 'installationAPI.01', 'miniPlatform',
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'taskStyles-mobileFirst', 'fonts-loader-1.0', 'dual-1.0',
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'taskVideo', 'taskVideoPlayer', 'taskVideo_css']);
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</script>
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<script class="remove" type="text/javascript">
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var json = {
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"id": "Skolar/07_Ensemble_Models/video_bagging",
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"language": "en",
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"version": "en.01",
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"authors": [],
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"translators": [],
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"license": "",
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"taskPathPrefix": "",
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"modulesPathPrefix": "",
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"browserSupport": []
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};
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</script>
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<script type="text/javascript">
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var videoData = {
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video_id: "qm3degtDoTo",
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sections: [
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{
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title: "Intro",
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description: "Overview of the lesson.",
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parts: 4,
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start: 0
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},
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{
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title: "Bagging for classification",
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description: "Explain booststrap and aggregation.",
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parts: 4,
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start: '1:07'
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},
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{
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title: "Bagging in regression",
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description: "Uncorrelated errors average out in bagging.",
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parts: 4,
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start: '4:39'
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},
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{
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title: "Bagging vs Random Forests",
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description: "Random Forests are like bagged decision trees, but not quite!",
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parts: 4,
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start: '5:50'
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},
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{
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title: "Take home messages",
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description: "Bagging fits independent deep trees that overfit individually.",
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parts: 4,
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start: '7:10'
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}
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],
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show_viewed: true,
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youtube: {
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rel: 0,
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autoplay: 0
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}
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};
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Dual.params = {
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sideurl: 'Bagging.pdf'
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};
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</script>
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</head>
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<body>
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<div id="task">
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<img src="icon.png" style="display:none">
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<!-- <div>
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<p>
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Optional text here
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</p>
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</div>-->
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<div id="taskContent">Loading...</div>
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</div>
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</body>
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</html>
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<!doctype html>
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<html>
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<head>
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<meta charset="utf-8">
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<title>video_boosting</title>
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<script>
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window.stringsLanguage = 'en';
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</script>
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<script class="remove" type="text/javascript" src="../../_common/modules/pemFioi/importModules-1.4-mobileFirst.js" id="import-modules"></script>
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<script class="remove" type="text/javascript">
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var modulesPath = '../../_common/modules';
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importModules([
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'jquery-1.7.1', 'JSON-js', 'raphael-2.2.1', 'jschannel',
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'platform-pr', 'installationAPI.01', 'miniPlatform',
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'taskStyles-mobileFirst', 'fonts-loader-1.0', 'dual-1.0',
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'taskVideo', 'taskVideoPlayer', 'taskVideo_css']);
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</script>
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<script class="remove" type="text/javascript">
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var json = {
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"id": "Skolar/07_Ensemble_Models/video_boosting",
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"language": "en",
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"version": "en.01",
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"authors": [],
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"translators": [],
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"license": "",
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"taskPathPrefix": "",
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"modulesPathPrefix": "",
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"browserSupport": []
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};
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</script>
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<script type="text/javascript">
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var videoData = {
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video_id: "xq0g5GQOZmw",
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sections: [
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{
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title: "Intro",
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description: "Overview of the lesson.",
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parts: 4,
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start: 0
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},
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{
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title: "Adaboost vs gradient boosting",
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description: "You should rather use gradient boosting.",
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parts: 4,
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start: '0:38'
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},
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{
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title: "Gradient boosting for regression",
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description: "Boosting fits the residuals to sequentially reduce underfitting.",
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parts: 4,
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start: '1:42'
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},
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{
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title: "Gradient boosting in classification",
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description: "In classification we fit regression trees to estimate probabilities.",
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parts: 4,
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start: '5:05'
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},
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{
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title: "Gradient boosting and histogram gradient boosting",
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description: "Binning the numerical features using histograms is much faster!",
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parts: 4,
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start: '8:54'
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},
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{
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title: "Take home messages",
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description: "Boosting and bagging have different nature, weaknesses and strengths.",
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parts: 4,
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start: '7:10'
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}
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],
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show_viewed: true,
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youtube: {
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rel: 0,
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autoplay: 0
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}
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};
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Dual.params = {
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sideurl: 'Boosting.pdf'
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};
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</script>
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</head>
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<body>
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<div id="task">
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<img src="icon.png" style="display:none">
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<!-- <div>
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<p>
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Optional text here
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</p>
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</div>-->
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<div id="taskContent">Loading...</div>
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</div>
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</body>
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</html>

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