Data & AI Digest for 2018-08-14

Keep current on what’s happening in Azure, including what’s now in preview, generally available, news & updates, and more.
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We continue to expand the Azure Marketplace ecosystem. From July 1 to 15, 98 new offers successfully met the onboarding criteria and went live.
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You can accelerate your cloud migration using intelligent migration assessment services like Azure Migrate. Azure Migrate is a generally available service, offered at no additional charge, that helps you plan your migration to Azure.
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The data.table R package is really good at sorting. Below is a comparison of it versus dplyr for a range of problem sizes. The graph is using a log-log scale (so things are very compressed). But data.table is routinely 7 times faster than dplyr. The ratio of run times is shown below. Notice on the … Continue reading data.table is Really Good at Sorting
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Introduction As part of our effort to provide users ways to replicate our analyses and improve their performance in fantasy football, we are continuously looking at ways we can improve[…]
The post 2018 Update of ffanalytics R Package appeared first on Fantasy Football Analytics.
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The development version of splashr now support authenticated connections to Splash API instances. Just specify user and pass on the initial splashr::splash() call to use your scraping setup a bit more safely. For those not familiar with splashr and/or Splash: the latter is a lightweight alternative to tools like Selenium and the former is an… Continue reading →
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I love Arkham Horror; The Card Game. I love it more than I really should;it’s ridiculously fun. It’s a cooperative card game where you build a deck representing a character in the Cthulhu mythos universe, and with that deck you play scenarios in a narrative campaign where you grapple with the horrors of the mythos. Your actions in (and between) scenarios have repercussions for how the campaign plays out, changing the story, and you use experience points accumulated in the scenarios to upgrade your deck with better cards.
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Model interpretability is critical to businesses. If you want to use high performance models (GLM, RF, GBM, Deep Learning, H2O, Keras, xgboost, etc), you need to learn how to explain them. With machine learning interpretability growing in importance, s…
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