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“Do you have any recommendations for useful priors when datasets are small?”

转载自:https://andrewgelman.com/2018/12/11/recommendations-useful-priors-datasets-small/

Andrew


发表于 2018-12-11

A statistician who works in the pharmaceutical industry writes:

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CBH Group: Sr Data Scientist [Perth, Australia]

转载自:http://feedproxy.google.com/~r/kdnuggets-data-mining-analytics/~3/luDjnGrX6wg/12-11-cbh-group-sr-data-scientist.html

Matt Mayo Editor


发表于 2018-12-11

At: CBH Group Location: Perth, AustraliaWeb: cbh.com.auPosition: Sr Data Scientist

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The Role of Theory in Data Analysis

转载自:https://simplystatistics.org/2018/12/11/the-role-of-theory-in-data-analysis/

未知


发表于 2018-12-11

Roger Peng ** 2018/12/11

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How to give money to the R project

转载自:https://blog.revolutionanalytics.com/2018/12/support-your-tools.html

Guest Blogger


发表于 2018-12-11

by Mark Niemann-Ross, **an author, educator, and writer who teaches about R and Raspberry Pi at LinkedIn Learning

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Advanced News API search: leveraging DBpedia entity types

转载自:http://blog.aylien.com/advanced-news-api-search-leveraging-dbpedia-entity-types/

Will Gannon


发表于 2018-12-11

When we’re searching or monitoring news content online, we specify the people, organizations, or things that interest us in order to return relevant stories. But sometimes, we can’t list every individual thing we are interested in searching for content about.

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Sharing Modeling Pipelines in R

转载自:http://www.win-vector.com/blog/2018/12/sharing-modeling-pipelines-in-r/

John Mount


发表于 2018-12-11

Reusable modeling pipelines are a practical idea that gets re-developed many times in many contexts. wrapr supplies a particularly powerful pipeline notation, and a pipe-stage re-use system (notes here). We will demonstrate this with the vtreat data preparation system.

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A Machine Learning Deep Dive [Webinar, Dec 13]

转载自:http://feedproxy.google.com/~r/kdnuggets-data-mining-analytics/~3/Wt97_ydeh1E/databricks-machine-learning-deep-dive-webinar.html

Gregory PS Editor


发表于 2018-12-11

Webinar: Bringing Data + Machine Learning Together for Repeatable Success at ShopRunner.

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Machine Learning (ML) Essentials

转载自:https://dimensionless.in/machine-learning-essentials/

Divya Singh


发表于 2018-12-11

When I started my Data Science journey, I casually Googled ‘Application of Machine Learning Algorithms’. For the next 10 minutes, I had my jaw hanging. Quite literally. Part of the reason was that they were all around me. That music video from YouTube recommendations that you ended up playing hundred times on loop? That’s Machine Learning for you. Ever wondered how Google keyboard completes your sentence better than your bestie ever could? Machine Learning again!

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DB connected R application on open-source Shiny server, part 1

转载自:http://feedproxy.google.com/~r/RBloggers/~3/qrT0dmVft0E/

Alex Levashov


发表于 2018-12-11

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Distilled News

转载自:https://analytixon.com/2018/12/11/distilled-news-930/

Michael Laux


发表于 2018-12-11

Introduction to Python Metaclasses

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