Data Science and Beyond

JULY 28, 2017

I decided to apply for a data wrangler position with Automattic in October 2015. I wasn’t in a huge rush to find a job, but in December 2015 I decided to accept an offer to become the head of data science at Car Next Door. Step 4: Pass the pre-trial test. Step 1: Do background research and apply.

Data Science 81

Data Science Testing Measurement Uncertainty 81

The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. Multiparameter experiments, however, generate richer data than standard A/B tests, and automated t-tests alone are insufficient to analyze them well. In this section we’ll discuss how we approach these two kinds of uncertainty with QCQP.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

The Unofficial Google Data Science Blog

JULY 22, 2020

Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users. The website wants to make sure they have the infrastructure to handle the feature while testing if engagement increases enough to justify the infrastructure. We offer two examples where this may be the case.

Experimentation 95

Experimentation Statistics Testing Strategy 95

The Unofficial Google Data Science Blog

MAY 31, 2016

Similarly, we could test the effectiveness of a search ad compared to showing only organic search results. Structure of a geo experiment A typical geo experiment consists of two distinct time periods: pretest and test. After the test period finishes, the campaigns in the treatment group are reset to their original configurations.

Advertising 42

Advertising Testing Sales Statistics 42

O'Reilly on Data

DECEMBER 9, 2019

Because of this trifecta of errors, we need dynamic models that quantify the uncertainty inherent in our financial estimates and predictions. Practitioners in all social sciences, especially financial economics, use confidence intervals to quantify the uncertainty in their estimates and predictions. Image Source: Wikimedia Commons.

Statistics 27

Statistics Uncertainty Risk Marketing 27

The Unofficial Google Data Science Blog

MARCH 31, 2016

In the context of prediction problems, another benefit is that the models produce an estimate of the uncertainty in their predictions: the predictive posterior distribution. both L1 and L2 penalties; see [8]) which were tuned for test set accuracy (log likelihood). arXiv preprint arXiv:1506.04416 (2015). [6] bandit problems).

Modeling 40

Modeling Statistics Advertising Testing 40

datapine

SEPTEMBER 4, 2023

Your Chance: Want to test a powerful data visualization software? For example, the average price of a Big Mac in the Euro area in July 2015 was $4.05 Your Chance: Want to test a powerful data visualization software? Back in 2015, when around 46.3 Your Chance: Want to test a powerful data visualization software?

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264