Register now for Hadley Wickham’s Master R in Amsterdam

On May 19 and 20, 2016, Hadley Wickham will teach his two day Master R Developer Workshop in the centrally located European city of Amsterdam. This is the first time we’ve offered Hadley’s workshop in Europe. It’s a rare chance to learn from Hadley in person. Only 3 public Master R Developer Workshop classes are offered per year and no…
Original Post: Register now for Hadley Wickham’s Master R in Amsterdam

Some folks like to get away, take a holiday from the neighborhood

Some folks like to get away, take a holiday from the neighborhood Posted by Andrew on 30 April 2016, 9:58 am Saw a couple of plays, both excellent. Fun Home. Compared to what I remembered of the book (which I also thought was excellent), the play seemed to be more about her family and less about Bechdel herself. But that worked…
Original Post: Some folks like to get away, take a holiday from the neighborhood

Lattice exercises – part 1

In the exercises below we will use the lattice package. First, we have to install this package with install.packages(“lattice”) and then we will call it library(lattice) . The Lattice package permits us to create univariate, bivariate and trivariate plots. For this set of exercises we will see univariate and bivariate plots. We will use a dataset example that we have…
Original Post: Lattice exercises – part 1

Cartoon: When Automation Goes Too Far

Cartoon: When Automation Goes Too Far Previous post            Tweet Tags: Automated, Automation, Beer, Cartoon, Marketing KDnuggets Cartoon looks into the future of Automated Data Science and Marketing – when will automation go too far? By Gregory Piatetsky, KDnuggets. Recent reports on data science automating marketing prompted this cartoon:Computer: Generating and sending Hyper Personalized Beer ad for Rob…
Original Post: Cartoon: When Automation Goes Too Far

Base R Nostalgia — by, tapply, ave, …

photo credit: Paul Yoakum This evening I was feeling nostalgic for base R group-bys. Before there was dplyr, there was apply and its cousins. I thought it’d be nice to get out the ol’ photo-album. To start off, the base R proto-ancestor of magrittr piping for me was the with function, especially with apply. It just cleaned up thesyntax and…
Original Post: Base R Nostalgia — by, tapply, ave, …

Identify, describe, plot, and remove the outliers from the dataset

In statistics, a outlier is defined as a observation which stands far away from the most of other observations. Often a outlier is present due to the measurements error. Therefore, one of the most important task in data analysis is to identify and (if is necessary) to remove the outliers. There are different methods to detect the outliers, including standard…
Original Post: Identify, describe, plot, and remove the outliers from the dataset

First Thoughts on Automatically Generating Accessible Text Descriptions of ggplot Charts in R

In a course team accessibility briefing last week, Richard Walker briefly mentioned a tool for automatically generating text descriptions of Statistics Canada charts to support accessibility. On further probing, the tool, created by Leo Ferres, turned out to be called iGraph-Lite: … an extensible system that generates natural language descriptions of statistical graphs, particularly those created for Statistics Canada online…
Original Post: First Thoughts on Automatically Generating Accessible Text Descriptions of ggplot Charts in R

The Development of Classification as a Learning Machine

Previous post Next post            Tweet Tags: Classification, Linear Discriminant Analysis, Logistic Regression, Perceptron, Sebastian Raschka An explanation of how classification developed as a learning machine, from LDA to the perceptron, on to logistic regression, and through to support vector machines. comments By Sebastian Raschka, Michigan State University. There are two fundamental milestones I’d say. The first one…
Original Post: The Development of Classification as a Learning Machine

DeepMind moves to TensorFlow

Posted by Koray Kavukcuoglu, Research Scientist, Google DeepMindAt DeepMind, we conduct state-of-the-art research on a wide range of algorithms, from deep learning and reinforcement learning to systems neuroscience, towards the goal of building Artificial General Intelligence. A key factor in facilitating rapid progress is the software environment used for research. For nearly four years, the open source Torch7 machine learning…
Original Post: DeepMind moves to TensorFlow