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www.analyticsvidhya.com | ||
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tomaugspurger.net
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| | | | | This is part 6 in my series on writing modern idiomatic pandas. Modern Pandas Method Chaining Indexes Fast Pandas Tidy Data Visualization Time Series Scaling Visualization and Exploratory Analysis A few weeks ago, the R community went through some hand-wringing about plotting packages. For outsiders (like me) the details aren't that important, but some brief background might be useful so we can transfer the takeaways to Python. The competing systems are "base R", which is the plotting system built into the language, and ggplot2, Hadley Wickham's implementation of the grammar of graphics. For those interested in more details, start with | |
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endjin.com
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| | | | | Discover the use of Synapse Notebooks in Azure Synapse Analytics for data analysis, cleaning, visualization, and machine learning. | |
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www.interviewbit.com
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| | | | | Table Of Contents show Machine Learning Methods Who's Using ML and What is it Used for? Best Machine Learning Books 1. Hands-on ML with Scikit-Learn, Keras & | |
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www.paepper.com
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| | | Today's paper: Rethinking 'Batch' in BatchNorm by Wu & Johnson BatchNorm is a critical building block in modern convolutional neural networks. Its unique property of operating on "batches" instead of individual samples introduces significantly different behaviors from most other operations in deep learning. As a result, it leads to many hidden caveats that can negatively impact model's performance in subtle ways. This is a citation from the paper's abstract and the emphasis is mine which caught my attention. Let's explore these subtle ways which can negatively impact your model's performance! The paper of Wu & Johnson can be found on arxiv. | ||
