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\nFundamentals of Machine Learning - Sampling and Bootstrap\n

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\nThis video explains the two most famous and common procedures—cross-validation and Bootstrap. This clip is from the chapter \"Lectures\" of the series \"Fundamentals of Machine Learning\".This section explains the basics of statistical...\nThis video explains the two most famous and common procedures—cross-validation and Bootstrap.

This clip is from the chapter \"Lectures\" of the series \"Fundamentals of Machine Learning\".This section explains the basics of statistical learning, sampling, and Bootstrap as well as support vector machines.\n
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Resource Details

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Curator Rating
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Educator Rating
Not yet Rated
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Media Length
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15:01
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Grade
Higher Ed
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Subjects
STEM
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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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2023
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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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Additional Materials

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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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random sampling, box plot, population, linear regression, sampling
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Additional Tags

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statistical learning, supervised, unsupervised learning, random forest, decision trees, svm, mlp, cnn, rnn, rocauc, high level, cross validation, validating set, pay attention, computation power, ground truth, blue histogram, skin color, sampling methods, entire population, true population, small number, training set, alpha hat, model selection, orange color, true average, actual average, empirical estimate, portfolio return, covariance term, orange, alpha, model, large, times, term
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Classroom Considerations

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Best For: Explaining a topic
Video is ad-free
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Educator Ratings

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\n\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" aria-label=\"Play video: Fundamentals of Machine Learning - Sampling and Bootstrap\" href=\"/subscription/new\">\"Fundamentals\n\n
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