Web Picks (week of 31 October 2016)

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.

  • Lessons from becoming a data-driven organization
    The article to read this week: “Organizations across the business spectrum are awakening to the transformative power of data and analytics. They are also coming to grips with the daunting difficulty of the task that lies before them. It’s tough enough for many organizations to catalog and categorize the data at their disposal and devise the rules and processes for using it. It’s even tougher to translate that data into tangible value. But it’s not impossible, and many organizations, in both the private and public sectors, are learning how.”
  • TSFRESH: Automatic extraction of relevant features from time series
    Data Scientists often spend most of their time either cleaning data or building features. While we cannot change the first thing, the second can be automated. TSFRESH frees your time spend on building features by extracting them automatically. Hence, you have more time to study the newest deep learning paper, read hacker news or build better models.
  • Neural Enhance
    What if you could increase the resolution of your photos using technology from CSI laboratories? Thanks to deep learning, it’s now possible to train a neural network to zoom in to your images at 2x or even 4x. The catch? The neural network is hallucinating details based on its training from example images. It’s not reconstructing your photo exactly as it would have been if it was HD. That’s only possible in Holywood — but using deep learning as “Creative AI” works and its just as cool! Here’s how you can get started…
  • Data Recycling
    “Data recycling is using data from other contexts to bootstrap your initial statistical models until you can collect live data.”