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GitHub - felixlohmeier/artikel-vorlage: Vorlagen für die Dokumentenkonvertierung mit pandoc für die Zeitschrift Informationspraxis. Dient der Generierung von HTML, PDF und EPUB aus einem Ausgangsformat (ODT, DOCX oder MD).
Dieses Repository enthält Vorlagen für Artikel der Fachzeitschrift Informationspraxis sowie Konfigurationsdateien zur Konvertierung der Artikel mit Pandoc nach HTML, PDF und EPUB. Für die Konvertierung der eingereichten Artikel nach HTML, PDF und EPUB nutzen wir Pandoc. via Pocket
conversion  formats  howto  pandoc  text 
4 weeks ago by kintopp
Oh, shit, git!
Git is hard: screwing up is easy, and figuring out how to fix your mistakes is fucking impossible. via Pocket
github  howto 
may 2019 by kintopp
howto.acdh.oeaw.ac.at
A blog about how to do things in Digital Humanities via Pocket
austria  dh  howto 
may 2019 by kintopp
The MLIF Book — Machine Learning is Fun!
Machine Learning is Fun! The Book This book is for anyone who is curious about machine learning and artificial intelligence. via Pocket
books  dev  howto  learn  python  statistics  ml 
may 2019 by kintopp
Open Source Guides | Learn how to launch and grow your project.
Open source software is made by people just like you. Learn how to launch and grow your project. It's Friday! Invest a few hours contributing to the software you use and love: opensourcefriday.com via Pocket
community  howto  open  source  resources  software 
may 2019 by kintopp
Wikidata:Request a query - Wikidata
This is a page where SPARQL 1.1 Query Language (Q32146616) queries can be requested. Please provide feedback if a query is written for you. For sample queries, see Examples. Property talk pages include also summary queries for these. via Pocket
howto  search  sparql  wiki  question 
may 2019 by kintopp
Netzwerkanalyse mit Gephi
Anwendungsbeispiel
Welcher Primärtext liegt der Analyse zugrunde? Erstellen Sie ein Figuren-Netzwerk und analysieren Sie digital Lessings Drama Emilia Galotti.
Vorarbeiten
Welche Arbeitsschritte sollten vor der Analyse ausgeführt werden? Vor Beginn der Analyse muss Gephi heruntergeladen bzw. installiert und Netzwerkdaten zu Lessings Drama auf Ihren Rechner heruntergeladen werden.
Funktionen
Welche Funktionen bietet Ihnen Gephi? Mit Gephi können Sie tabellarische Übersichten erstellen, die in Netzwerkvisualisierungen umgewandelt werden. Die Netzwerkvisualisierungen sind auf vielfältige Weise individualisierbar.
Lösungen zu den Beispielaufgaben
Haben Sie die Beispielaufgaben richtig gelöst? Hier finden Sie Antworten.
germany  graphs  howto  learn  networks 
may 2019 by kintopp
correspSearch - Mitmachen - Schritt-für-Schritt-Anleitung
Jede Briefedition – ob gedruckt oder digital erschienen – kann ein digitales Briefverzeichnis im „Correspondence Metadata Interchange Format“ (CMIF) bereitstellen und beim Webdienst correspSearch registrieren lassen. via Pocket
germany  howto  letters  metadata 
november 2018 by kintopp
Topic Model Tutorial
The Usage is simple: You create a corpus.txt file in which each line corresponds to a document. Then you execute the promoss.jar with Store the document metadata separated by semicolons in a file named meta.txt. The documents have to be put in a file named corpus. via Pocket
howto  learn  text  topics  analysis 
october 2018 by kintopp
Recommendations for good Linked Open Data Good practices
Recommendations for Good Practices When Initiating Linked Open Data (LOD) in Museums and Other Cultural-Heritage Institutions These recommendations are excerpted from the AAC publication, Overview and Recommendations for Good Practices [PDF] The following text is meant for museums and other types o via Pocket
archives  data  howto  libraries  linkeddata  museums 
june 2018 by kintopp
Guides // TODO: Talk openly, develop openly
The TODO Group in collaboration with the Linux Foundation and wider open source community helped produce a set of guides to aid companies developing open source programs: https://github. via Pocket
howto  open  source 
june 2018 by kintopp
First Timers Only - Get involved in Open Source and commit code to your first project!
Welcome! Let’s do some open source! Contributing to open source for the first time can be scary and a little overwhelming. Perhaps you’re a Code Newbie or maybe you’ve been coding for a while but haven’t found a project you felt comfortable contributing to. You can do it! Here’s how. via Pocket
github  howto  open  source 
june 2018 by kintopp
A gentle guide to deep learning object detection - PyImageSearch
I went through your previous blog post on deep learning object detection along with the followup tutorial for real-time deep learning object detection. Thanks for those. Ezekiel isn’t the only reader with those questions. via Pocket
howto  images  neural  python  recognition 
may 2018 by kintopp
Translating a blog post into structured data | Bodleian Digital Library
Recently my Bodleian colleague Alasdair Watson posted an announcement about an illuminated manuscript that is newly available online. To get the most long-term value out of the announcement, I decided to express it as Linked Open Data by representing its content in Wikidata. via Pocket
howto  linkeddata  oxford  semantic  wiki 
may 2018 by kintopp
Where can I find examples of good Mathematica programming practice? - Mathematica Stack Exchange
I consider myself a pretty good Mathematica programmer, but I'm always looking out for ways to either improve my way of doing things in Mathematica, or to see if there's something nifty that I haven't encountered yet. Where (books, websites, etc. via Pocket
howto  learn  resources  wolfram 
april 2018 by kintopp
Using convolutional neural nets to detect facial keypoints tutorial — Daniel Nouri's Blog
This is a hands-on tutorial on deep learning. Step by step, we'll go about building a solution for the Facial Keypoint Detection Kaggle challenge. The tutorial introduces Lasagne, a new library for building neural networks with Python and Theano. via Pocket
howto  recognition  ml 
march 2018 by kintopp
» A Librarian’s Guide to OpenRefine ACRL TechConnect Blog
Academic librarians working in technical roles may rarely see stacks of books, but they doubtless see messy digital data on a daily basis. OpenRefine is an extremely useful tool for dealing with this data without sophisticated scripting skills and with a very low learning curve. via Pocket
howto  metadata  tools 
september 2017 by kintopp
Software Carpentry · GitHub
Sandbox for 2012 bootcamp at University of Hawaii; may be deleted within a couple weeks after the bootcamp via Pocket
analysis  datasets  dev  dh  howto  learn  resources  syllabus 
september 2017 by kintopp
Introducing the HiPSTAS Audio Toolkit Workflow: Audio Labeling
Audio preservation and access presents a significant resource management issue for libraries and archives. Digitizing sound is a task that can be partly automated, but describing a recording so its contents are discoverable requires a much more labor-intensive workflow. via Pocket
audio  howto  python  tools  ml 
september 2017 by kintopp
Introduction to Network Analysis
Once you’ve generated metrics, you can apply them to the graph visualization. The network metrics generated in the prior section can be used to restyle the network. via Pocket
graphs  howto  tools 
july 2017 by kintopp
302 Found
And we will show the interesting, valuable, and occasionally hilarious outcomes from these techniques for bulk image analysis. Our research focused on image analysis and machine learning using the million images available from the Qatar Digital Library, as well as other IIIF repositories. via Pocket
api  howto  iiif 
june 2017 by kintopp
R for Data Science
This is the website for “R for Data Science”. This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science. via Pocket
books  data  datasets  howto  learn  tools 
may 2017 by kintopp
Introduction to mapping and spatial methods for the humanities
Most things happen somewhere, and mapping can be an effective technique for exploring, analysing, and presenting many types of data. This workshop is designed for researchers who are interested in adding a spatial dimension to their research. via Pocket
geo  gis  howto  learn  maps  space 
may 2017 by kintopp
An Introduction to Spatial Data Analysis and Visualisation in R - CDRC Data
This tutorial series is designed to provide an accessible introduction to techniques for handling, analysing and visualising spatial data in R. R is an open source software environment for statistical computing and graphics. via Pocket
analysis  geo  howto  learn  maps  space 
may 2017 by kintopp
Zotero | Groups > Historical Network Research > Library
Home > Groups > Historical Network Research > Library Create Item Library Settings Cite Export Enable javascript for best results. via Pocket
howto  netherlands  networks  python 
april 2017 by kintopp
GitHub - miriamposner/cytoscape_tutorials: A set of Cytoscape tutorials for my students
Cytoscape is a tool for viewing and analyzing networks (meaning, in this case, any group of entities that are connected in some way). Cytoscape is not too hard to use, but it won't make much sense unless you have a sense of some basic network analysis vocabulary and concepts. via Pocket
howto  learn  networks 
april 2017 by kintopp
Frascati Manual - OECD
The internationally recognised methodology for collecting and using R&D statistics, the OECD's Frascati Manual is an essential tool for statisticians and science and innovation policy makers worldwide. via Pocket
datasets  howto  research  statistics 
march 2017 by kintopp
Implementing a Principal Component Analysis (PCA)
The main purposes of a principal component analysis are the analysis of data to identify patterns and finding patterns to reduce the dimensions of the dataset with minimal loss of information. via Pocket
howto  learn  text  ml 
february 2017 by kintopp
A Tutorial on Principal Component Analysis – Michael J. Flynn's Blog
Machine learning is a buzzword these days. Just dropping it can impress people without requiring that you elaborate, perhaps because it feeds their fantasies of a robot takeover. Investors are particularly vulnerable because they get to act on these fantasies. via Pocket
dev  howto  learn  ml 
february 2017 by kintopp
Top Stories, Nov 14-20: How Bayesian Inference Works; Data Science and Big Data, Explained; Advanced Time Series Prediction
How Bayesian Inference Works; Data Science and Big Data, Explained; Trump, Failure of Prediction, and Lessons for Data Scientist; Combining Different Methods to Create Advanced Time Series Prediction; Questions To Ask When Moving Machine Learning From Practice to Production via Pocket
howto  learn  resources  statistics 
january 2017 by kintopp
Containers from Scratch
This is write up for talk I gave at CAT BarCamp, an awesome unconference at Portland State University. The talk started with the self-imposed challenge “give an intro to containers without Docker or rkt.” via Pocket
howto  learn  vm 
january 2017 by kintopp
Open Data, Challenges towards implementation, and possible solutions.
Open Data, Challenges towards implementation, and possible solutions. Ian Mulvany eLife Sciences, Sage Abstract: Calls in favour of Open Data in research are becoming overwhelming. They are at national (RCUK 2015) and international levels (Moedas 2015, Boulton et al. via Pocket
data  howto  open 
january 2017 by kintopp
Running Mathematica on the Cloud with Rescale - YouTube
Rescale and Wolfram Research introduce their partnership and highlight the benefits users gain by running on the cloud. Learn how to instantly scale out Mathematica analyses by leveraging Rescale's dynamic and flexible platform. via Pocket
cloud  gpu  howto  mathematica 
december 2016 by kintopp
EXTRACTING NETWORK DATA FROM MAYAKOVSKY'S PLAY "THE BEDBUG" (1928/29)
We don’t know if you noticed, but the LINA research field (LIterary Network Analysis) has come up with pretty good PR videos lately. Look at this fancy Youtube clip produced by the “Nation, Genre & Gender” project at the University College Dublin (their project homepage is here). via Pocket
drama  graphs  howto  networks 
november 2016 by kintopp
From OMBD to Gender Data on Film Directors: How to... - Silk
We are now going to use Open Refine to get the data clean, especially to get the information we want out of that JSON data we just added to the spreadsheet. Export your Google Sheet as a .CSV file. Launch Open Refine and create a new project. Import your . via Pocket
data  datasets  howto  metadata  tools 
august 2016 by kintopp
Installing Keras for deep learning - PyImageSearch
The purpose of this blog post is to demonstrate how to install the Keras library for deep learning. The installation procedure will show how to install Keras: Let me start by saying that Keras is my favorite deep learning Python library. via Pocket
howto  tools  deep 
august 2016 by kintopp
Improving UX For Color-Blind Users – Smashing Magazine
According to Colour Blind Awareness 4.5% of the population are color-blind1. If your audience is mostly male this increases to 8%. Designing for color-blind people can be easily forgotten because most designers aren’t color-blind. via Pocket
accessibility  colour  howto  webdev 
june 2016 by kintopp
GitHub - kateto/R-Network-Visualization-Basics-to-Advanced: Basic and advanced network visualization with R - code and tutorial from my Sunbelt 2016 workshop.
The tutorial covers network visualization using the R language for statistical computing (cran.r-project.org) and RStudio (rstudio.com). It provides a brief overview of network formats, focusing on their structure and representation in key R packages. via Pocket
howto  learn  networks 
june 2016 by kintopp
“Take Control of Slack Basics” Serialized in TidBITS - TidBITS
We’re pleased to kick off another serialized Take Control book: “Take Control of Slack Basics,” written by Glenn Fleishman. via Pocket
howto 
june 2016 by kintopp
A Guide to Distributed Digital Preservation | MetaArchive
Authored by members of the MetaArchive Cooperative, is the first of a series of volumes describing successful collaborative strategies and articulating specific new models that may help cultural memory organizations work together for their mutual benefit. via Pocket
archives  howto  preservation 
may 2016 by kintopp
TensorFlow for Poets « Pete Warden's blog
When I first started investigating the world of deep learning, I found it very hard to get started. There wasn’t much documentation, and what existed was aimed at academic researchers who already knew a lot of the jargon and background. via Pocket
analysis  classification  howto  images  learn  tools  deep 
may 2016 by kintopp
The Art of the Commit · An A List Apart Article
Git and tools like GitHub offer many ways to view what has changed in a commit. But a well-crafted commit message can save you from having to use those tools by neatly (and succinctly) summarizing what has changed. via Pocket
github  howto  learn  versioning 
april 2016 by kintopp
HOW TO: Pure CSS masonry layouts — Medium
One popular content layout style is “masonry”. Not familiar with it? Think Pinterest, Windows’ Metro etc. To describe it in words, an almost crazy paving effect whereby variable sized blocks of content are pieced together in an aesthetically pleasing style, often staggered. via Pocket
css  howto  kanjialive  webdev 
february 2016 by kintopp
open-drafts/sonification.md at master · shawngraham/open-drafts · GitHub
I am too much tired of seeing the past. There are any number of guides that will help you visualize that past which cannot be seen, but often we forget what a creative full-of-fudges act visualization is. We are perhaps too tied to our screens, too much invested in ‘seeing’. via Pocket
howto  sonification 
february 2016 by kintopp
Deep learning for hackers with MXnet (2): Neural art | Number 2147483647
Special thanks to Eric Xie for fixing the MXnet cuDNN problem. MXnet can fully utilize cuDNN for speeding up neural art. Have you clicked “star” and “fork” on MXnet github repo? If not yet, do it now! https://github.com/dmlc/mxnet via Pocket
art  howto  ml  deep 
january 2016 by kintopp
Network analysis with R and igraph: NetSci X Tutorial
Get the tutorial PDF and code, or download on GithHub. Categories: Featured, Networks, Post Tags: igraph, NetSci, network, network analysis, network science, R via Pocket
graphs  howto  learn  networks  tools 
january 2016 by kintopp
Network Analysis with Cytoscape Tutorial | Archaeological Networks
Ever wanted to learn network analysis on your own but thought it’s just a bit too scary? Many friends and colleagues I talk to about networks sure seem to feel this way. Well, network analysis does not have to be difficult or scary at all. via Pocket
howto  learn  networks  tools 
january 2016 by kintopp
Getting started with Palladio | Miriam Posner's Blog
Palladio, a product of Stanford’s Humanities+Design Lab, is a web-based visualization tool for complex humanities data. Think of Palladio as a sort of Swiss Army knife for humanities data. via Pocket
graphs  howto  networks 
december 2015 by kintopp
DMPonline
DMPonline has been developed by the Digital Curation Centre to help you write data management plans. via Pocket
archives  data  howto  policies  preservation 
december 2015 by kintopp
Tutorial: Neatline for Historical Maps | Kristen Mapes
I have been long curious about the exciting functionality of using historic maps for layering various types of information in digital humanities projects. via Pocket
howto  maps  omeka 
november 2015 by kintopp
Analytics of Republican Debate and network percolation - Online Technical Discussion Groups—Wolfram Community
(Unmark) Mark as an Answer Be respectful. Review our Community Guidelines to understand your role and responsibilities. via Pocket
demos  howto  networks  text  analysis  mathematica 
october 2015 by kintopp
GEPHI - Introduction to Network Analysis and Visualization
Network Analysis and visualization appears to be an interesting tool to give the researcher the ability to see its data from a new angle. via Pocket
gephi  howto  networks 
october 2015 by kintopp
Introduction to Network Analysis
Download network node and edge data. After downloading each file, open them in Excel and evaluate their content and structure. Use the questions below to guide evaluation. via Pocket
gephi  howto  networks 
october 2015 by kintopp
This free online encyclopedia has achieved what Wikipedia can only dream of - Quartz
The Stanford Encyclopedia of Philosophy may be the most interesting website on the internet. Not because of the content—which includes fascinating entries on everything from ambiguity to zombies—but because of the site itself. via Pocket
crowdsourcing  howto 
october 2015 by kintopp
Exploring Big Historical Data: The Historian's Macroscope
Welcome to the companion site for Exploring Big Historical Data: The Historian’s Macroscope, published by Imperial College Press. If you want to buy a copy, you can purchase one for $39.00 USD. via Pocket
analysis  books  history  howto 
september 2015 by kintopp
Graphdatenbanken für Historiker. Netzwerke in den Registern der Regesten Kaiser Friedrichs III. mit neo4j und Gephi | Mittelalter
Zu Beginn der Digitalisierung von historischen Quellen stand die Imagedigitalisierung im Vordergrund. Sie hatte den Vorteil, dass sie unter den gegebenen technischen Rahmenbedingungen bezahlbar und mit vertretbarem Zeitaufwand durchzuführen war. via Pocket
history  howto  learn  networks 
august 2015 by kintopp
Torch | Applied Deep Learning for Computer Vision with Torch
Slides and EC2 Image Notebooks Location Date and Time: Sunday 7th June, 2015. 0830-1230 (Half Day — Morning) Location: Room 200 Schedule A candid introduction to Torch. The philosophy and simplistic design. Neural Networks Package: a gentle introduction. Hands-on-tutorial using itorch notebooks. via Pocket
howto  learn  tools  images  deep 
june 2015 by kintopp
Writing up text analysis for immediate interaction <em>and</em> long-term persistence.
Though more and more outside groups are starting to adopt Bookworm for their own projects, I haven’t yet written quite as much as I’d like about how it should work. via Pocket
datasets  howto  infrastructure  methodology  text  analysis  visualization 
june 2015 by kintopp
Boundless : Introduction to PostGIS
All the data in the package is public domain and freely redistributable. All the software in the package is open source, and freely redistributable. This workshop is licensed as Creative Commons “share alike with attribution”, and is freely redistributable under the terms of that license. via Pocket
geo  gis  howto  learn 
june 2015 by kintopp
Dennis Yurichev: 13-May-2015: (Beginners level) Analyzing unknown binary files using information entropy.
For the sake of simplification, I would say, information entropy is a measure, how tightly some piece of data can be compressed. For example, it is usually not possible to compress already compressed archive file, so it has high entropy. via Pocket
compression  howto  recognition  mathematica 
may 2015 by kintopp
Textplot refresh – Python 3, PyPI, CLI app | david mcClure
A couple weeks ago, I flew back to the east coast to give some Neatline workshops at Davidson College, which was lovely. via Pocket
howto  networks  text  analysis  tools  visualization 
may 2015 by kintopp
Hands-on Start to Mathematica
Ready for more self-paced learning? Browse the Learning Center » Want expert help? Sign up for a certified training course or free seminar » via Pocket
howto  learn  mathematica 
may 2015 by kintopp
A Course for Visualization in R, Taking You From Beginner to Advanced
It's the fourth year of running memberships on FlowingData (whoa). With at least one tutorial per month since the beginning, I've worked up a pretty good collection, mostly in R. Each tutorial is self-encapsulated. Download the source and follow the steps. via Pocket
howto  learn  statistics 
may 2015 by kintopp
Tutorial: Network analysis of a Twitter hashtag using Gephi and NodeXL | Clara Guibourg
Network analysis is a nifty area of data journalism that can show you how people are connected. via Pocket
howto  networks  tools 
may 2015 by kintopp
A new interactive interface for learning R online, for free | R-bloggers
Using the open-source swirl project and RStudio server, DataCamp has created an exciting new online learning interface. Discover a fun collection of free interactive R tutorials covering basic R functions, the apply-family, base graphics, data structures and much more. www.datacamp. via Pocket
howto  learn  statistics 
april 2015 by kintopp
Digital Projects for Special Collections | UCLA Library
The UCLA Library Special Collections Digital Project Toolkit is designed to support a variety of digital projects that may occur in a special collections library, including collaborative digital humanities projects, boutique and large-scale digitization projects, and projects that include developmen via Pocket
howto  preservation  project  management 
april 2015 by kintopp
From Hermeneutics to Data to Networks: Data Extraction and Network Visualization of Historical Sources
Network visualizations can help humanities scholars reveal hidden and complex patterns and structures in textual sources. via Pocket
howto  learn  networks 
april 2015 by kintopp
Creating simple graphs with Excel's Pivot Tables and Tate's artist data - Open Objects
I’ve been playing with Tate’s collections data while preparing for a workshop on data visualisation. On the day I’ll probably use Google Fusion Tables as an example, but I always like to be prepared so I’ve prepared a short exercise for creating simple graphs in Excel as an alternative. via Pocket
excel  howto  learn 
april 2015 by kintopp
The Winnower | DIY Scientific Publishing
Researchers often want to make claims that two or more groups of participants show the same (or close to the same) performance on a task. For example, a psychologist may seek to demonstrate that an effect is equally strong for men and women. via Pocket
howto  statistics 
march 2015 by kintopp
How to build and run your first deep learning network - O'Reilly Radar
When I first became interested in using deep learning for computer vision I found it hard to get started. There were only a couple of open source projects available, they had little documentation, were very experimental, and relied on a lot of tricky-to-install dependencies. via Pocket
howto  tools  ml  deep 
february 2015 by kintopp
Posts Categorized as 'Image Processing'—Wolfram Blog
In a recent series of Image Processing with Mathematica workshops held at universities across the United States, we presented Mathematica‘s new image processing functionality and applied it on the spot to attendees’ real-world problems. via Pocket
howto  analysis  mathematica  images 
february 2015 by kintopp
Using convolutional neural nets to detect facial keypoints tutorial — Daniel Nouri's Blog
This is a hands-on tutorial on deep learning. Step by step, we'll go about building a solution for the Facial Keypoint Detection Kaggle challenge. The tutorial introduces Lasagne, a new library for building neural networks with Python and Theano. via Pocket
faces  howto  recognition  ml 
february 2015 by kintopp
Start your MATLAB journey with Image Processing
All 5 star ratings! ------------------------- Andrew Wiggins - "I was looking for such a course on Image Processing for quite a while. The instructor looks expert in the subject and has a very good style of teaching. via Pocket
howto  learn  matlab  mooc 
february 2015 by kintopp
Matlab Tutorial : Vectors and Matrices - 2015
MATLAB is based on matrix and vector algebra. So, even scalars are treated as $1 \times 1$ matrices. The yields the vector $v = [1,2,5,10]$. via Pocket
howto  analysis  matlab  images 
february 2015 by kintopp
Image Processing with MATLAB - Pascal Getreuer
This tutorial discusses how to use MATLAB for image processing. Some familiarity with MATLAB is assumed (you should know how to use matrices and write an M-file). It is helpful to have the MATLAB Image Processing Toolbox, but fortunately, no toolboxes are needed for most operations. via Pocket
howto  analysis  matlab  images 
february 2015 by kintopp
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