projects
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projects [2016/12/01 14:14] asa [Video Presentations] |
projects [2018/09/28 12:41] asa |
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| Projects can include: | Projects can include: | ||
| - | * Exploring variants of an algorithm studied in class. Such a project would compare the performance of the variants across a number of datasets (e.g. taken from the UCI ML repository). | + | * Exploring variants of an algorithm studied in class or an algorithm not studied in class. Such a project would compare the performance of the algorithms across a number of datasets to some baseline methods (datasets taken e.g. from the UCI ML repository). |
| * Duplicating a result reported in a publication. | * Duplicating a result reported in a publication. | ||
| - | * Applying ML techniques to a dataset that you have personal interest in. We can provide ideas from bioinformatics and EEG data analysis (Chuck Anderson who works on brain-computer interfaces would be happy to talk to you about that). See e.g. data from [[http://www.bbci.de/competition/ | BCI competitions]]. | + | * Applying ML techniques to a dataset that you have personal interest in. |
| - | * Exploring algorithms not studied in class. | + | |
| - | * Exploring issues such as over fitting, to obtain a better understanding of when it occurs for high dimensional data, and which algorithms are more susceptible. | + | |
| - | * Participate in a machine learning competition among the ones available at the [[https://www.kaggle.com/competitions | kaggle]] website. | + | |
| A few more details: | A few more details: | ||
projects.txt · Last modified: 2018/09/28 12:41 by asa
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