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To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Our experimentation platform supports this kind of grouped-experiments analysis, which allows us to see rough summaries of our designed experiments without much work.
I got my first data science job in 2012, the year Harvard Business Review announced data scientist to be the sexiest job of the 21st century. As I was wrapping up my PhD in 2012, I started thinking about my next steps. Things have changed considerably since 2012. What do I actually do here?
Davenport and DJ Patil addressing this question, which they first posed in 2012. When the Data Scientist role “was relatively new” in 2012, the authors observed that “as more companies attempted to make sense of big data, they realized they needed people who could combine programming, analytics, and experimentation skills.”
In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. In fact, Hainmueller (2012) show that entropy balancing is equivalent to estimating the weights as a log-linear model of the covariate functions $c_j(X)$. 2012): 25-46.
A geo experiment is an experiment where the experimental units are defined by geographic regions. The expected precision of our inferences can be computed by simulating possible experimental outcomes. Jon Vaver and Jim Koehler, Periodic Measurement of Advertising Effectiveness Using Multiple-Test-Period Geo Experiments , 2012.
In the time since that announcement, our team has been working extremely hard to combine technologies, customer bases, and internal operations into a single organization that achieves the goal we set out to accomplish in 2012. Recently, that merger matured to a point where we felt it necessary to change the way we talk about the products.
IBM’s current mainframe models, the z15 T01 and z15 T02, were introduced in September 2019 and May 2020 respectively, and the company still offers follow-on service for machines right back to the zEC12 released in September 2012.
We data scientists now have access to tools that allow us to run a large numbers of experiments, and then to slice experimental populations by any combination of dimensions collected. Make experimentation cheap and understand the cost of bad decisions. This leads to the proliferation of post hoc hypotheses. Consider your loss function.
To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022. This choice also inspired me to call my project Swift Papers.
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