Machine Learning Fundamentals

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Top Tracks

Rank Play Album Loved Track name Buy Options Listeners
1 Squiggly Line fit to the training data Squiggly Line fit to the training data
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 35 listeners
2 Definition of Variance Definition of Variance
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 31 listeners
3 Cross Validation concepts Cross Validation concepts
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4 Definition of Overfit Definition of Overfit
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 30 listeners
5 Motivation for using Cross Validation Motivation for using Cross Validation
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6 An example using Cross Validation An example using Cross Validation
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7 Bias and Variance Bias and Variance
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 19 listeners
8 Least Regression fit to the training data Least Regression fit to the training data
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9 Motivation for confusion matrices Motivation for confusion matrices
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 16 listeners
10 A 3x3 confusion matrix. A 3x3 confusion matrix.
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