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RcppArmadillo 0.9.200.4.0

转载自:http://feedproxy.google.com/~r/RBloggers/~3/G-zUAQrCfAM/

Thinking inside the box


发表于 2018-11-10

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Dr. Data Show Video: What the Hell Does “Data Science” Really Mean?

转载自:http://feedproxy.google.com/~r/kdnuggets-data-mining-analytics/~3/7NNdpCmBTns/dr-data-show-video-data-science-really-mean.html

Eric Siegel


发表于 2018-11-10

Watch the latest episode of The Dr. Data Show, which answers the question, “What the hell do data science and big data really mean?”

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The Gamification Of Fitbit: How an API Provided the Next Level of tRaining

转载自:http://feedproxy.google.com/~r/RBloggers/~3/2n50YsJ0Cj0/

Matt.0


发表于 2018-11-10

“Anyone can look for fashion in a boutique or history in a museum. The creative explorer looks for history in a hardware store and fashion in an airport” — Robert Wieder

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Model evaluation, model selection, and algorithm selection in machine learning

转载自:https://sebastianraschka.com/blog/2018/model-evaluation-selection-part4.html

未知


发表于 2018-11-10

Introduction

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R Packages worth a look

转载自:https://analytixon.com/2018/11/10/r-packages-worth-a-look-1329/

Michael Laux


发表于 2018-11-10

Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE)Functions which can be used to support the Multicriteria Decision Analysis (MCDA) process involving multiple criteria, by PROMETHEE (Preference Ranking …

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R Packages worth a look

转载自:https://analytixon.com/2018/11/11/r-packages-worth-a-look-1330/

Michael Laux


发表于 2018-11-10

Convert Data Types and Get Non-Astonishing Results (hablar)Simple tools for converting columns to new data types. Intuitive summary functions.

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Matching (and discarding non-matches) to deal with lack of complete overlap, then regression to adjust for imbalance between treatment and control groups

转载自:https://andrewgelman.com/2018/11/10/matching-discarding-non-matches-deal-lack-complete-overlap-regression-adjust-imbalance-treatment-control-groups/

Andrew


发表于 2018-11-10

John Spivack writes:

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Multi-Class Text Classification with Doc2Vec & Logistic Regression

转载自:http://feedproxy.google.com/~r/kdnuggets-data-mining-analytics/~3/2sKgn4Clyig/multi-class-text-classification-doc2vec-logistic-regression.html

Matt Mayo Editor


发表于 2018-11-09

By Susan Li, Sr. Data Scientist

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Top October Stories: 9 Must-have skills you need to become a Data Scientist, updated; 10 Best Mobile Apps for Data Scientist / Data Analysts

转载自:http://feedproxy.google.com/~r/kdnuggets-data-mining-analytics/~3/ktJpVI7Tj-s/top-stories-2018-oct.html

Gregory Piatetsky


发表于 2018-11-09

 

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T-mobile uses R for Customer Service AI

转载自:http://feedproxy.google.com/~r/RBloggers/~3/wJTrfuyxbp0/

David Smith


发表于 2018-11-09

T-Mobile, the global telecommunication company, is using R in production to automatically classify text messages to customer service  and route them to an agent that can help. The [email protected] team used the keras library in R to build a natural language processing engine with Tensorflow, and deployed it to production as a docker container. The MRAN Time Machine ensures the container gets fixed R package versions for reproducibility. 

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