Domino Data Lab

AUGUST 6, 2021

It was first defined by the US Federal Reserve and Office of the Comptroller of the Currency ( SR 11-7 ) in April 2011. The process of doing data science is about learning from experimentation failures, but inadvertent errors can create enormous risks in model implementation. Model implementation. Model Risk Management Framework.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Occam's Razor

NOVEMBER 2, 2015

" The second question was never answered either, but because all businesses know is how to pimp that became their default strategy. if yes, what should your content (and marketing) strategy be. In my Oct 2011 post, Best Social Media Metrics , I'd created four metrics to quantify this value. Big mistake. They should.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

Occam's Razor

OCTOBER 21, 2013

In late 2011, Google announced an effort to make search behavior more secure. As an analyst, I was upset that this change would hurt my ability to analyze the effectiveness of my beloved search engine optimization (SEO) efforts – which are really all about finding the right users using optimal content strategies.

Optimization 154

Optimization Reporting Experimentation Metrics 154

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

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. What is to be done?

Experimentation 61

Experimentation Testing Statistics Metrics 61