November 2020

Random Seed on BNSL package

November 3, 2020 | Akhila Chowdary Kolla

Over the past few months, I have been working on testing the Rcpp packages using RcppDeepState in the cluster. When we fuzz test each Rcpp function-specific Testharness the number of inputs that are passed onto the target binary keeps varying depending... [Read more...]

sampling w/o replacement except when replacing

November 2, 2020 | xi'an

Another Riddle(r), considering a box with M myrtle balls and D dandelion balls. Drawing balls without replacement while they stay of the same color as the initial draw, else put back the last ball and repeat the process until all balls are drawn. The funny thing is that, unless ...
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Upcoming workshop: My 1st Shiny App

November 2, 2020 | Mirai Solutions

Learn how to empower your data through a Shiny interface at Mirai’s new workshop My 1ST Shiny App on 17th November. Storytelling is pivoting for successful data science. Communicating the results of your analytics and having an accessible way to dat...
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Influencing Distributions with Tiered Incentives

November 1, 2020 | rstats on Bryan Shalloway's Blog

Simple Example Applying Incentives Takeaways of Resulting Distribution Think Carefully About Assumptions How to Set Assumptions Appendix Simple Assumptions Trade-offs In this post I will use incentives for sales representatives in pricing to provide examples of factors to consider when attempting to influence an existing distribution. For instance, if you ...
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Defending the indefensible

November 1, 2020 | HighlandR

I opened Twitter on Saturday night to see indignant tweets everywhere, most of which seemed to be directed towards a plot (or, more accurately, a series of plots) that were shown as part of the UK Government Coronavirus briefing on Saturday e...
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torch for tabular data

November 1, 2020 | Sigrid Keydana

Machine learning on image-like data can be many things: fun (dogs vs. cats), societally useful (medical imaging), or societally harmful (surveillance). In comparison, tabular data – the bread and butter of data science – may seem more mundane. What’s more, if you’re particularly interested in deep learning (DL), and looking ...
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