Web Picks (week of 14 December 2015)

Every two weeks, we find the most interesting data science links from around the web and collect them in Data Science Briefings, the DataMiningApps newsletter. Subscribe now for free if you want to be the first to get up to speed on interesting resources.

  • Jupyter, Zeppelin, Beaker: The Rise of the Notebooks
    The idea of computer notebooks has been around for a long time, starting with the early days of Matlab and Mathematica in the mid-to-late-80s. This interesting post shows of modern data science implementations of this idea, which not only include Jupyter, but others as well.
  • Scikit Flow
    Scikit Flow is a simplified interface for TensorFlow, to get people started on predictive analytics and data mining.
  • Introducing OpenAI
    Sam Altman, Elon Musk, as well as other influencial tech legends announce the OpenAI non-profit to advance researchin AI.
  • The Quartz guide to bad data
    “As a reporter your world is full of data. And those data are full of problems. This guide presents thorough descriptions and possible solutions to many of the kinds of problems that you will encounter when working with data.”
  • d3.compose
    Compose complex, data-driven visualizations from reusable charts and components with d3.
  • d3-shape
    Another d3 library: “Visualizations typically consist of discrete graphical marks. While the rectangles of a bar chart may be easy enough to generate directly, other shapes are complex, such as rounded annular sectors and centripetal Catmull–Rom splines. This module provides a variety of shape generators for your convenience.”
  • Monopoly Simulations
    A fun one to close with: this post describes a Monopoly simulation model to figure out imbalances in the game.