WZB Data Science Blog
Home
About
Legal notice / Impressum
Monthly Archives:
June 2019
You are browsing the site archives by month.
Linkdump #113
June 28, 2019 4:59 pm
,
Markus Konrad
R
Feature Engineering and Selection: A Practical Approach for Predictive Models
A Gentle Introduction to tidymodels
Python
A Visual Intro to NumPy and Data Representation
The Illustrated Word2vec
Interesting articles, projects and news
Word2vec: fish + music = bass
The Internet Has Made Dupes—and Cynics—of Us All
KI sorgt für Flow bei der Arbeit
Mit dem Algorithmus gegen Cholera
Two tactics effectively limit the spread of science denialism
Die vielfältigen Fähigkeiten von Git, Teil 1
Posted in:
Linkdump
Linkdump #112
June 21, 2019 4:30 pm
,
Markus Konrad
R
Working with SPSS labels in R
Interactive Network Visualization with R
Advanced R, second edition
Technical debt for data scientists
An Analysis of The Gender Wage Gap In Australia
Mixed Models in R
Generalized Additive Models in R
A Practical Extension of Introductory Statistics in Psychology using R
Dendrograms in R, a lightweight approach
What’s new in R 3.6.0
List of textual data sources to be used for text mining in R
RStudio 1.2 Released
Python
Coclust: a Python package for co-clustering
data.table for Python
Ray: 10x Faster Parallel Python Without Python Multiprocessing
The Best and Most Current of Modern Natural Language Processing
The programmer who created Python isn’t interested in mentoring white guys
Announcing the Wolfram Client Library for Python
Analyzing Spatial Patterns in Life Expectancy with Python
Python LRU Cache decorator
Stylin’ with Pandas
The reason I am using Altair for most of my visualization in Python
ruptures: change point detection in Python
Interesting articles, projects and news
Datenforscherin: “Künstliche Intelligenz ist kaputt”
Studie: Meinungsmacht verlagert sich langsam aber sicher ins Netz
Transfer Learning: KI mit Zauberei
Ten Simple Rules for Better Figures
The code that powers our lives has a hidden environmental toll
Bellingcat and How Open Source Reinvented Investigative Journalism
Schickt die statistische Signifikanz in den Ruhestand!
Spacesheet – Interactive Latent Space Exploration through a Spreadsheet Interface
Why software projects take longer than you think – a statistical model
Exploring Neural Networks with Activation Atlases
New York Times – The Privacy Project
The Art of Giving and Receiving Code Reviews (Gracefully)
Research quality data and research quality databases
testing statistical software
Data Viz Book Reviews
Simulated Dendrochronology of U.S. Immigration 1790-2016
bloxberg: Neues Blockchain-Forschungsprojekt für Wissenschaftler
Illustrated Machine Learning cheatsheet
A collection of research papers on decision, classification and regression trees with implementations
Toward the next generation of programming tools
Deepfake Salvador Dalí takes selfies with museum visitors
Rules of Machine Learning: Best Practices for ML Engineering
Danah Boyd: Agnotology and Epistemological Fragmentation
Tech Companies Are Deleting Evidence of War Crimes
Intermediate vim
Neuronales Netz lernt zählen – ganz nebenbei
Posted in:
Linkdump
Search for:
Recent posts
Some thoughts about the use of cloud services and web APIs in social science research
Continuous Integration testing with GitHub Actions using tox and hypothesis
Batch transfer GitLab projects with the GitLab API
Spatially weighted averages in R with sf
Clustered standard errors with R
Categories
APIs
(4)
COVID-19
(2)
d3.js
(3)
Data Mining
(9)
Databases
(3)
Django
(3)
Experiment Implementation
(3)
General
(4)
GIS / spatial data
(9)
git
(2)
IO
(2)
JavaScript
(1)
Linkdump
(135)
Machine Learning
(3)
Network analysis
(3)
NLP & Text Analysis
(10)
oTree
(3)
Parallel computing
(2)
PDFs
(5)
Presentation slides
(2)
Python
(32)
R
(15)
Shiny
(2)
Statistics
(1)
Testing
(3)
Visualization
(13)
Web Development
(6)
Web Scraping
(5)
Links
me @ twitter
WZB Website
WZB @ Github
R-bloggers
RWeekly.org
Search for:
Links
me @ twitter
WZB Website
WZB @ Github
R-bloggers
RWeekly.org
Recent Posts
Some thoughts about the use of cloud services and web APIs in social science research
Continuous Integration testing with GitHub Actions using tox and hypothesis
Batch transfer GitLab projects with the GitLab API
Spatially weighted averages in R with sf
Clustered standard errors with R
Recent Comments
Some thoughts about the use of cloud services and web APIs in social science research – Data Science Austria
on
Some thoughts about the use of cloud services and web APIs in social science research
Samer
on
Clustered standard errors with R
Clustered standard errors with R - File4Me.com
on
Clustered standard errors with R
David Will
on
Interactive visualization of geospatial data with R Shiny
Simplifying geospatial features in R with sf and rmapshaper - File4Me.com
on
Simplifying geospatial features in R with sf and rmapshaper
Archives
March 2022
February 2022
July 2021
May 2021
April 2021
March 2021
January 2021
December 2020
November 2020
September 2020
August 2020
July 2020
June 2020
May 2020
April 2020
March 2020
February 2020
December 2019
November 2019
October 2019
September 2019
August 2019
July 2019
June 2019
May 2019
April 2019
March 2019
February 2019
January 2019
December 2018
November 2018
October 2018
September 2018
August 2018
July 2018
June 2018
May 2018
April 2018
March 2018
February 2018
January 2018
December 2017
November 2017
October 2017
September 2017
August 2017
July 2017
June 2017
May 2017
April 2017
March 2017
February 2017
January 2017
December 2016
November 2016
October 2016
September 2016
August 2016
July 2016
June 2016
Categories
APIs
COVID-19
d3.js
Data Mining
Databases
Django
Experiment Implementation
General
GIS / spatial data
git
IO
JavaScript
Linkdump
Machine Learning
Network analysis
NLP & Text Analysis
oTree
Parallel computing
PDFs
Presentation slides
Python
R
Shiny
Statistics
Testing
Visualization
Web Development
Web Scraping
Meta
Log in
Entries feed
Comments feed
WordPress.org
Recent Comments