October 2018

AI, Machine Learning and Data Science Announcements from Microsoft Ignite

October 2, 2018 | David Smith

Microsoft Ignite, Microsoft's annual developer conference, wrapped up last week and many of the big announcements focused on artificial intelligence and machine learning. The keynote presentation from Microsoft's Cloud AI lead Eric Boyd showcases the major developments, or you can check out his accompanying blog post for a written summary. ... [Read more...]

MySQL Data Type Mapping in R

October 2, 2018 | Matt

There was a recent question in the /r/Rlanguage subreddit which piqued my interest. They asked how to find the right mapping, and with the large…Continue ReadingMySQL Data Type Mapping in R [Read more...]

Exploring HR Employee Attrition and Performance with R

October 2, 2018 | Terry

Based on IBM’s fictional data set created by their data scientists. Introduction: Employee Attrition is when an employee leaves a company due to normal means, (loss... The post Exploring HR Employee Attrition and Performance with R appeared first on FinderDing.

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How to build a logistic regression model from scratch in R

October 2, 2018 | Andrew Treadway

In a previous post, we showed how using vectorization in R can vastly speed up fuzzy matching. Here, we will show you how to use R’s vectorization functionality to efficiently build a logistic regression model. Now we could just use the caret or stats packages to create a model, ...

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Manifold Visualization: Second Example

October 1, 2018 | matloff

In last night’s post, I introduced prVis(), a new visualization tool which we have invented, available in our polyreg package. Recall that prVis() is intended as a simpler alternative to recent visualization tools like t-SNE and UMAP. Here I will post another example. The dataset is prgeng, included in ...

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outcomerate: Transparent Communication of Quality in Social Surveys

October 1, 2018 | rOpenSci - open tools for open science

Background Surveys are ubiquitous in the social sciences, and the best of them are meticulously planned out. Statisticians often decide on a sample size based on a theoretical design, and then proceed to inflate this number to account for “sample losses”. This ensures that the desired sample size is achieved, ...

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Rcpp 0.12.19: And more updates

October 1, 2018 | Thinking inside the box

The next bi-monthly update in the 0.12.* series of Rcpp releases landed on CRAN early this morning. It was actually released on September 20, but I made a first cut (see #887 below) at a deprecation which CRAN and I decided to reverted for now, then ... [Read more...]

BlueSky Statistics 6.04 GUI for R Update

October 1, 2018 | Bob Muenchen

It has been just a few months since I reviewed five free and open-source point-and-click graphical user interfaces (GUIs) to the R language. I plan to keep those reviews up to date as new features are added. BlueSky’s interface would … Continue reading →

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Using R in 3 Different Ways With Datazar Desktop

October 1, 2018 | Datazar

With the increase in R usage over the past few years and the sheer diversity of industries employing data-science and analytics, the backgrounds of the people using R day-to-day has also changed. Different background, from hard-sciences to software-eng...

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How to combine plots and table made with ggplot (or grid graphics) in R

October 1, 2018 | Roman Luštrik

In the last few years, a number of options of how to combine grid graphics (incl. ggplot2) have emerged. If you can't remember all functions to do this, this post may serve as a reference guide, but it's mostly for me because I keep forgetting the functionalities provided by cowplot ... [Read more...]

How to combine plots and table made with ggplot (or grid graphics) in R

October 1, 2018 | Roman Luštrik

Modeling muti-category Outcomes With vtreat

October 1, 2018 | John Mount

vtreat is a powerful R package for preparing messy real-world data for machine learning. We have further extended the package with a number of features including rquery/rqdatatable integration (allowing vtreat application at scale on Apache Spark or data.table!). In addition vtreat and can now effectively prepare data for ... [Read more...]

Full Stack Data Science (Transcript)

October 1, 2018 | Hugo Bowne-Anderson

Here is a link to the podcast. Introducing Vicki Boykis Hugo: Hi there, Vicki, and welcome to DataFramed. Vicki: Thank you so much for having me. What are you known for in the data science community? Hugo: It's an absolute pleasure to have you on the show. I'm really excited ...

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Analyzing OWASP Mod Security Audit Log with R

October 1, 2018 | Christophe Stevens

Web servers are frequently scanned or attacked by remote HTTP clients. Attackers send HTTP requests via algorithms or by direct "human" intervention. In order to protect web servers against these threats, automated protection systems block potentially malicious HTTP requests. Every time a request is blocked, its description is logged in ...

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BooST series II: Pricing Optimization

October 1, 2018 | insightr

By Gabriel Vasconcelos & Yuri Fonseca Introduction This post is the second of a series of examples of the BooST (Boosting Smooth Trees) model. You can see an introduction to the model here and the first example here. Our objective … Continue reading →

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Machine Learning in R with H2O and LIME: slides, photos and video

October 1, 2018 | MilanoR

Hello, everyone! Did you have fun at June 25th’s workshop with H2O and Lime? If you were there, we’re sure you did. If you weren’t… here’s a recap, with the explanation, the link to the live event and all the materials too! The workshop started ... [Read more...]

Pull the Right Strings with stringr: Exercises

October 1, 2018 | Yanir Mor

By providing a set of wrappers to existing functions, the stringr package allows for simple, consistent and efficient manipulations of strings in R. Even though there are some more basic packages that offer strings-related functions, you might find yourself in need for a more complete and straightforward solution for handling ...

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Manifold Visualization: Polynomials to the Rescue

October 1, 2018 | matloff

Our arXiv paper and the associated R package polyreg caused a bit of a stir, both pro and con, when we first announced them here in June. The discussion even spread as far as Twitter, Reddit and Hacker News. We’ll be announcing a revised paper, and various new features ...

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R-bloggers

R news and tutorials contributed by hundreds of R bloggers

October 2018

AI, Machine Learning and Data Science Announcements from Microsoft Ignite

MySQL Data Type Mapping in R

Exploring HR Employee Attrition and Performance with R

How to build a logistic regression model from scratch in R

Manifold Visualization: Second Example

outcomerate: Transparent Communication of Quality in Social Surveys

Rcpp 0.12.19: And more updates

BlueSky Statistics 6.04 GUI for R Update

Using R in 3 Different Ways With Datazar Desktop

How to combine plots and table made with ggplot (or grid graphics) in R

How to combine plots and table made with ggplot (or grid graphics) in R

Modeling muti-category Outcomes With vtreat

Full Stack Data Science (Transcript)

Analyzing OWASP Mod Security Audit Log with R

BooST series II: Pricing Optimization

Machine Learning in R with H2O and LIME: slides, photos and video

Pull the Right Strings with stringr: Exercises

Manifold Visualization: Polynomials to the Rescue

October 2018

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