Monthly Archives: April 2018

R

• Animated Directional Chord Diagrams
• Big changes behind the scenes in R 3.5.0

Python

• Bayesian Linear Regression in Python: Using Machine Learning to Predict Student Grades Part 1
• hypertools – A Python toolbox for gaining geometric insights into high-dimensional data
• Pipenv: A Guide to the New Python Packaging Tool
• How to create a 2D game with Python and the Arcade library

Interesting articles, projects and news

• Artificial Intelligence — The Revolution Hasn’t Happened Yet
• Künstliche Intelligenz lernt von Hunden
• Where Countries Are Tinderboxes and Facebook Is a Match
• Xenographics – Weird but (sometimes) useful charts

R

• A Recession Before 2020 Is Likely; On the Distribution of Time Between Recessions
• Writing an R package from scratch
• Developing Your First R Package
• Statistical Inference: A Tidy Approach

Python

• Python 3.7: Introducing Data Classes
• Python: Neue Repository-Software für PyPI ist fertig
• backoff – Python library providing function decorators for configurable backoff and retry

Interesting articles, projects and news

• No boundaries for Facebook data: third-party trackers abuse Facebook Login
• Arrow and beyond: Collaborating on next generation tools for open source data science
• Text Embedding Models Contain Bias. Here’s Why That Matters.
• Fake News PSA — DeepFake video of Barack Obama saying things that Obama never said
• Introducing TensorFlow.js: Machine Learning in Javascript
• The little book of LDA
• Deep Painterly Harmonisation — composite and preserve the style of the destination image
• Google works out a fascinating, slightly scary way for AI to isolate voices in a crowd
• Künstliche Intelligenz: Facebook sagt Nutzerverhalten voraus und verkauft damit Anzeigen

R

• ggridges – Ridgeline plots provide a convenient way of visualizing changes in distributions over time or space. This package enables the creation of such plots in ‘ggplot2’.
• Regular Expressions Every R programmer Should Know
• Neglected R Super Functions
• An overview of keyword extraction techniques

Python

• Array Programming With NumPy
• Introducing TensorFlow Probability
• Creating Map Animations with Python
• python-intervals – Python library for interval arithmetic

Interesting articles, projects and news

• Ten quick tips for teaching programming
• Why Does “=” Mean Assignment?
• Data Science in the Browser
• Code and Data for the Social Sciences: A Practitioner’s Guide
• Targeting: Die nächste Generation
• Studie: Roboter bedrohen Jobs in Deutschland stärker als in anderen Industrienationen
• Blockchain is not only crappy technology but a bad vision for the future

News / Artikel

R

• Directed Acylcic Graphs (DAGs) with ggdag
• stapl – PDF Toolkit
• Bump Chart

Python

• Part-of-Speech tagging tutorial with the Keras Deep Learning library
• Pytubes is a library that optimizes loading datasets into memory
• Introducing TensorFlow Hub: A Library for Reusable Machine Learning Modules in TensorFlow
• Markdown Descriptions on PyPI
• ANN Visualizer – A python library for visualizing Artificial Neural Networks (ANN)
• The Python Arcade Library – Arcade is an easy-to-learn Python library for creating 2D video games. It is ideal for people learning to program.

Interesting articles, projects and news

• Interpreting predictive models with Skater: Unboxing model opacity
• How Cambridge Analytica’s Facebook targeting model really worked
• 10 Simple rules for overcoming statistical paralysis
• Good enough practices in scientific computing
• Schlechter Journalismus füttert “Fake News”
• Wie kreativ ist künstliche Intelligenz?