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The new pqR parser, and R’s “else” problem

转载自:http://feedproxy.google.com/~r/RBloggers/~3/HZGuqW1e_qE/

Radford Neal


发表于 2018-11-28

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ICML 2019: Some Changes and Call for Papers

转载自:http://hunch.net/?p=10858918

kamalika


发表于 2018-11-28

The ICML 2019 Conference will be held from June 10-15 in Long Beach, CA — about a month earlier than last year. To encourage reproducibility as well as high quality submissions, this year we have three major changes in place.

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Multilevel models for multiple comparisons! Varying treatment effects!

转载自:https://andrewgelman.com/2018/11/28/multilevel-models-multiple-comparisons-varying-treatment-effects/

Andrew


发表于 2018-11-28

Mark White writes:

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Introducing Amazon Translate Custom Terminology

转载自:https://aws.amazon.com/blogs/machine-learning/introducing-amazon-translate-custom-terminology/

Yoni Friedman


发表于 2018-11-28

Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation. Today, we are introducing Custom Terminology, a feature that customers can use to customize Amazon Translate output to use company- and domain-specific vocabulary. By uploading and invoking Custom Terminology with translation requests, customers have the ability to ensure that their unique content, such as brand names, character names, and model names, is translated exactly the way they need it, regardless of context and the Amazon Translate algorithm’s decision.

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NYC buses: company level predictors with R

转载自:http://feedproxy.google.com/~r/RBloggers/~3/rQDkvicsI7Q/

Nils Ross


发表于 2018-11-28
  1. Basic Statistics
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R Packages worth a look

转载自:https://analytixon.com/2018/11/28/r-packages-worth-a-look-1350/

Michael Laux


发表于 2018-11-28

Analysing Accelerometer Data Using Hidden Markov Models (HMMpa)Analysing time-series accelerometer data to quantify length and intensity of physical activity using hidden Markov models. It also contains the traditi …

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Filter Clickbait from News Content with our custom Natural Language Processing Model

转载自:http://blog.aylien.com/filter-clickbait-from-news-content-with-our-custom-natural-language-processing-model/

Will Gannon


发表于 2018-11-28

Over the past few years, the phenomenon of clickbait has grown from nothing into a ubiquitous part of the that content we consume. From YouTube videos to news stories, we’ve all gotten familiar with headlines that don’t tell us much about the actual content, but instead promise us an emotional reaction or offer us a list of things we really don’t need to know.

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Le Monde puzzle [#1078]

转载自:http://feedproxy.google.com/~r/RBloggers/~3/b2Y4bjcwMmU/

xi'an


发表于 2018-11-28

Recalling Le Monde mathematical puzzle  first competition problem

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Lessons from posting a fake map about pies

转载自:https://flowingdata.com/2018/11/28/fake-pie-map/

Nathan Yau


发表于 2018-11-28

Brian Brettschneider made a joke map randomly designating the favorite pies of certain areas. While intended as a joke and a parody of past “favorite” maps, some people took it too seriously — like Senator Ted Cruz. Brettschneider describes the lessons he learned:

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What Python editors or IDEs you used the most in 2018?

转载自:http://feedproxy.google.com/~r/kdnuggets-data-mining-analytics/~3/uw9rxquPSTU/new-poll-python-editor-ide-used.html

Gregory Piatetsky


发表于 2018-11-27

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