Over the past few days, I have been introduced to a few new-to-me R packages, via some comments from the Shiny guys and the R-bloggers site. This seems a rather haphazard way of acquiring knowledge and I cannot be alone in thinking that this is not the most productive way to become aware of new/better
82 search results for "web scraping"
The Guerilla Guide to R
Update: I am aware the table of contents are being displayed in bullet form as I intended. The web template I'm using seems to be buggy. It also seems to think this page is in Indonesian...Working on it!
Table of Contents:
Presentations of the third Milano R net meeting
Welcome presentation Nicola Sturaro, Consultant at Quantide (download PDF, 0.5 MB) Machine learning A case of digit recognition based on a shallow neural network implemented in R. Michele Vitali, Statistical consultant (download PDF, 0.2 MB) Chess betting odds How to develop … Continue reading →
Milano (Italy). April 18, 2013. Third Milano R net meeting: agenda
April 18, 2013 - 18:00 - 21:00 Fiori Oscuri Bistrot & Bar (www.fiorioscuri.it) Via Fiori Oscuri, 3 - Milano (Zona Brera) 18.00 - 18.15 Registration 18.15 - 18.30 Welcome presentation Andrea Spanò, Partner at Quantide 18.30 - 19.00 Digit recognition Machine … Continue reading →
April 18, 2013Third Milano R net meeting: agenda
April 18, 2013 - 18:00 - 21:00 Fiori Oscuri Bistrot & Bar (www.fiorioscuri.it) Via Fiori Oscuri, 3 - Milano (Zona Brera) 18.00 - 18.15 Registration 18.15 - 18.30 Welcome presentation Andrea Spanò, Partner at Quantide 18.30 - 19.00 Digit recognition Machine … Continue reading →
Generating Labels for Supervised Text Classification using CAT and R
The explosion in the availability of text has opened new opportunities to exploit text as data for research. As Justin Grimmer and Brandon Stewart discuss in the above paper, there are a number of approaches to reducing human text to … Continue reading →
SPARQL with R in less than 5 minutes
In this article we’ll get up and running on the Semantic Web in less than 5 minutes using SPARQL with R. We’ll begin with a brief introduction to the Semantic Web then cover some simple steps for downloading and analyzing government data via a SPARQL query with the SPARQL R package. What is the Semantic
The post SPARQL...
Multiple Classification and Authorship of the Hebrew Bible
Sitting in my synagogue this past Saturday, I started thinking about the authorship analysis that I did using function word counts from texts authored by Shakespeare, Austen, etc. I started to wonder if I could do something similar with the … Continue reading →
Chocolate and nobel prize – a true story?
Few of us can resist chocolate, but the real question is: should we even try to resist it? The image is CC by Tasumi1968.
As a dark chocolate addict I was relieved to see Messerli's ecological study on chocolate consumption and the...
Data Science, Data Analysis, R and Python
The October 2012 issue of Harvard Business Review prominently features the words “Getting Control of Big Data” on the cover, and the magazine includes these three related articles:
- “Big Data: The Management Revolution,” by Andrew McAfee and Erik Brynjolfsson, pages 61 – 68;
- “Data Scientist: The Sexiest Job of the 21st Century,” by Thomas H. Davenport and D.J. Patil, pages...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
