Data Science Weekly Newsletter - Issue 127

Issue #127

April 28 2016

Editor Picks
 
  • Sorry ARIMA, but I’m Going Bayesian
    When people think of “data science” they probably think of algorithms that scan large datasets to predict a customer’s next move or interpret unstructured text. But what about models that utilize small, time-stamped datasets to forecast dry metrics such as demand and sales? Yes, I’m talking about good old time series analysis, an ancient discipline that hasn’t received the cool “data science” rebranding enjoyed by many other areas of analytics...
  • How Information Graphics Reveal Your Brain’s Blind Spots
    We’re only at the very beginning of taking advantage of the ways graphics and visuals reveal our mental errors, our biases, our very bizarre behavior and our blind spots — to our own minds and to the situations of other people. I believe interactives, especially “you do it” graphics, can help. But given the length of this list, I suspect we’re going to be busy at it for a while...
 
 

A Message from this week's Sponsor:

 

  • Learn Functional Programming from Experts in 12 weeks, Tuition Free.
    DataScience, Inc. is launching DS12, a residency program that will teach 12 qualified candidates functional programming skills and prepare them with the tools necessary to succeed as part of the world's leading data science teams. To learn more and to apply for our inaugural session beginning June 13th, click here
 
 

Data Science Articles & Videos

 
  • What Happens When Baseball-Stats Nerds Run a Pro Team?
    In 2015, the Sonoma Stompers, the team with one of the lowest payrolls in the Pacific Association, a professional baseball league near San Francisco, did something desperate: It handed its baseball-operations department to a couple of stat-savvy writers with no baseball-management experience, Ben Lindbergh and me...
  • I'll Keep Using R
    During my two years at Texas State, I’ve been engaged in a bit of an experiment on statistics & data analysis tools...
  • Algorithm Visualization
    We've kicked off a series of algorithm coding katas at work. As something of an algorithms and data viz geek I thought I'd take part...
 
 

Jobs

 
  • Data Scientist - FanDuel - New York, NY

    FanDuel is the pioneer of online daily fantasy sports, one of the fastest growing sectors of the sports and entertainment industry. The Data Scientist will be responsible for answering the biggest, toughest and most interesting questions facing the company: How do we optimize revenue? Who are our “best” customers? How should we best spend our marketing budget? As an expert in machine learning, optimization and statistics you will apply your talents across all business areas, implement your findings, and make a great product even better for all our customers. This role requires a unique blend of business understanding and technical expertise – and the ability to communicate the outputs of difficult calculations in a way that’s clear, concise and unambiguous....
 
 

Training & Resources

 
  • Spreadsheet Thinking vs. Database Thinking
    The shape of a dataset is hugely important to how well it can be handled by different software. The shape defines how it is laid out: wide as in a spreadsheet, or long as in a database table. Each has its use, but it’s important to understand their differences and when each is the right choice...
  • bayes.js - MCMC and Bayes in the browser
    bayes.js is small toy JavaScript MCMC framework that can be used fit Bayesian models in the browser. I call it "toy" because I would use it for fun, but not in production...
 
 

Books

 

 
 
P.S. Interested in reaching fellow readers of this newsletter? Consider sponsoring! Email us for details :) - All the best, Hannah & Sebastian
 
Sign up to receive the Data Science Weekly Newsletter every Thursday

Easy to unsubscribe. No spam — we keep your email safe and do not share it.