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\nEnsemble Machine Learning Techniques 2.1: Problems that Ensemble Learning Solves\n

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\nThis video talks about the advantages of using ensemble learning. • Define what is Bias, variance • Define what is Bias-Variance tradeoff • Look at the Advantage of using ensemble learning\nThis video talks about the advantages of using ensemble learning. • Define what is Bias, variance • Define what is Bias-Variance tradeoff • Look at the Advantage of using ensemble learning\n
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Resource Details

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Educator Rating
Not yet Rated
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Media Length
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2:56
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Grade
Higher Ed
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Subjects
STEM
3 more...
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Media Type
Instructional Videos
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Source:
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\nPackt - Data\n\n
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Date
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2019
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" href=\"/subscription/new\">Video Transcript\n
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Concepts

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variance, bias, data, classification, blockchain, coding, computer science, stem
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Additional Tags

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2 classes, machine learning, regression, aws, angular, training data, error, capture, summer learning, learning algorithm, tradeoff, software, high variance, result, line, learning, training, high bias, advantages, case, decreasing, section, learn, symbol learning, programming, react, c++, c#, relation, implementing, python, ensemble learning, video, graph, model
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Classroom Considerations

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Best For: Explaining a topic
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\n\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" aria-label=\"Play video: Ensemble Machine Learning Techniques 2.1: Problems that Ensemble Learning Solves\" href=\"/subscription/new\">\"Ensemble\n\n
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