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grbs.library.duke.edu | ||
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journal.transformativeworks.org
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ices.library.ubc.ca
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digitalcommons.wayne.edu
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| | | | | Recommendations to expand Cohen's (1988) rules of thumb for interpreting effect sizes are given to include very small, very large, and huge effect sizes. The reasons for the expansion, and implications for designing Monte Carlo studies, are discussed. | |
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kavita-ganesan.com
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| | | This article examines the parts that make up neural networks and deep neural networks, as well as the fundamental different types of models (e.g. regression), their constituent parts (and how they contribute to model accuracy), and which tasks they are designed to learn. | ||