The Unofficial Google Data Science Blog

MAY 31, 2016

A geo experiment is an experiment where the experimental units are defined by geographic regions. Statistical power is traditionally given in terms of a probability function, but often a more intuitive way of describing power is by stating the expected precision of our estimates. They are non-overlapping geo-targetable regions.

Advertising 42

Advertising Testing Sales Statistics 42

Occam's Razor

SEPTEMBER 13, 2016

If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. Hypothesis development and design of experimentation. Ok, maybe statistical modeling smells like an analytical skill. Pattern recognition and understanding trends. Argumentation and logical thinking. Strategic thinking skills.

Modeling 128

Modeling Reporting Strategy Consulting 128

Occam's Razor

JUNE 4, 2018

I mean developing and inserting a subtle collection of gentle nudges that can help increase the conversion rate by a statistically significant amount. Checkout the Kimbao Sauvignon Blanc you can see sales and would buy it again rates since 2011. I don’t mean: BUY IT NOW OR ELSE! Sizing the Opportunity. Add to Basket!

Strategy 125

Strategy Cost-Benefit Testing Sales 125

Occam's Razor

APRIL 8, 2013

Remember that the raw number is not the only important part, we would also measure statistical significance. By 2011, the company had 20 full-time photographers on staff. The properties with professional photography had 2-3 times the number of bookings! Airbnb had enough data points to be confident in their results.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

Domino Data Lab

AUGUST 22, 2019

Although it’s not perfect, [Note: These are statistical approximations, of course!] 2011) earlier in this chapter. We waved our finger in the air to select 64, so some experimentation and optimization are warranted at your end if you feel like it. Note: Maas, A., Learning word vectors for sentiment analysis. Example 11.6

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

1]" Statistics, as a discipline, was largely developed in a small data world. More people than ever are using statistical analysis packages and dashboards, explicitly or more often implicitly, to develop and test hypotheses. Data was expensive to gather, and therefore decisions to collect data were generally well-considered.

Experimentation 61

Experimentation Testing Statistics Metrics 61