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Published byJosephine Shepherd Modified over 6 years ago
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Oral Presentation Applied Machine Learning Course YOUR NAME
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DATASET Describe your dataset: nm of datapoints, dimension of data, classes. Examples of images from each class
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PCA Results (2 slides) Describe results of applying PCA on your dataset Show the best projections Show / discuss the eigenvalues Show /discuss eigenvectors
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Result of Clustering (2 slides)
Show best and worst clustering results Show results with semi-supervised clustering Discuss effect of hyperparameters
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Result of Classification (2 slides)
Show results of classification Compare the classifiers Discuss effect of hyperparameters Add qualitative plots to highlight some results, such as cases of overfitting.
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Result of Regression (2-3 slides)
Explain metric chosen and show example of metric values for your images Show results of regression Compare the regression algorithms Discuss effect of hyperparameters Add qualitative plots to highlight some results, such as cases of poor fit.
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