Data Science Weekly Newsletter - Issue 109

Issue #109

December 24 2015

Editor Picks
 
  • Child’s Play: Computers should stop trying to act like grown-ups
    Thirty years of developmental cognitive science have shown that children are the best learners on earth. But how do they learn so much so quickly? For the last 15 years developmental cognitive scientists and computer scientists have been trying to answer this question, and the answers shape new kinds of machine learning...
  • The Star Wars Social Network
    Some of us are looking forward to Christmas, and some of us are looking forward to the new film in the Star Wars franchise, The Force Awakens. Meanwhile, I decided to look at the whole 6-movie cycle from a quantitative point of view and extract the Star Wars social networks, both within each film and across the whole Star Wars universe...
 
 

A Message from this week's Sponsor:

 

  • Create D3 Data Visualizations As Fast As You Can Sketch
    You need to create a D3.js data visualization to communicate your insights. But... #d3BrokeAndMadeArt! This time, your data join appears to have broken and the JavaScript console shows an error you don't recognize. Last time, you got stuck trying to figure out how to make axes that didn't look like 3rd graded made them. It makes you want to strangle D3 with your bare hands. Just how steep does the D3 learning curve need to be?!

    What if you could learn and master D3 quickly and deeply? Great news! - You can ... Check out the DashingD3js.com Introductory D3.js Training today.
     

 

Data Science Articles & Videos

 
  • What do we ask in Stack Overflow?
    Stackoverflow is the biggest site of Q&A that means have a lot of data and fortunately we can get it - and generate some interesting insights on which programming languages on trending up and down...
  • What We Talk About When We Talk About Iran
    It goes without saying that global media perceptions of Iran are multivalent, myriad, and always evolving. To investigate those perceptions, in all their complexity, is a task for computational journalism. So in the spirit of inquiry, the Chartbeat Data Science Team tried to answer our original question, “How is Iran framed by the media?” with some good, old-fashioned computational analysis...
  • Accuracy vs Explainability of Machine Learning Models
    My ex-labmate Ryan Turner presented an awesome poster at the NIPS workshop on Black Box Learning and Inference that was an eye-opener to me. Here I'm going to cover what I think was the main take-home message for me, but I encourage everyone to take a look at the paper for the details...
  • A Year of Approximate Inference: Review of the NIPS 2015 Workshop
    Probabilistic inference lies no longer at the fringe. The importance of how we connect our observed data to the assumptions made by our statistical models—the task of inference—was a central part of this year's Neural Information Processing Systems (NIPS) conference...
 
 

Jobs

 
  • Data Scientist - CitiBike - New York

    NYCBS seeks a Data Scientist to drive analytical work to help make Citi Bike the best bike share system in the world. Through empirical analysis and the development of customized software tools for staffing, rebalancing, maintenance and operations, the Data Scientist will help Citi Bike lead the global bike share industry in innovative, data driven approaches. The Data Scientist will report to the Operations Director and will work in tandem with Citi Bike Operations Managers to inform operational response, and develop best-practices for the organization...
 
 

Training & Resources

 
  • My top 5 ‘new’ Python modules of 2015
    As I’ve been blogging a lot more about Python over the last year, I thought I’d list a few of my favourite ‘new’ Python modules from 2015. These aren’t necessarily modules that were newly released in 2015, but modules that were ‘new to me’ this year – and may be new to you too!...
 
 

Books

 

  • Doing Math with Python

    Shows you how to use Python to delve into high school–level math topics like statistics, geometry, probability, and calculus...

    "A book that is educational, fun and useful..."

    For a detailed list of books covering Data Science, Machine Learning, AI and associated programming languages check out our resources page.
 
 
P.S. Interested in reaching fellow readers of this newsletter? Consider sponsoring! Email us for details :) - All the best, Hannah & Sebastian
 
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