Mark Raskino

AUGUST 30, 2017

For example in 2003, when I visited Zagreb in Croatia for the first time – they had mobile phone text based payment for car parking. He was talking about something we call the ‘compound uncertainty’ that must be navigated when we want to test and introduce a real breakthrough digital business idea. This is not a new observation.

Testing 53

Testing Experimentation Uncertainty Risk 53

IBM Big Data Hub

OCTOBER 30, 2023

A proactive approach to the threat of a global health crisis After the SARS outbreak in 2003, federal and provincial governments in Canada recognized that their existing public health systems and IT were inadequate.

Reporting 64

Reporting Management Modeling Forecasting 64

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Done right, strategic forecasts can provide insights to decision makers on trends, incorporate forward-looking knowledge of product plans and technology roadmaps when relevant, expose the risks and biases of relying on any one forecasting methodology, and invite input from stakeholders on the uncertainty ranges.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

O'Reilly on Data

DECEMBER 9, 2019

We use the diagnostic test results of our regression model to support the reasons why CIs should not be used in financial data analyses. Modern portfolio theory assumes that rational, risk-averse investors demand a risk premium, a return in excess of a risk-free asset such as a treasury bill, for investing in risky assets such as equities.

Statistics 27

Statistics Uncertainty Risk Marketing 27

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

One way to check $f_theta$ is to gather test data and check whether the model fits the relationship between training and test data. This tests the model’s ability to distinguish what is common for each item between the two data sets (the underlying $theta$) and what is different (the draw from $f_theta$).

KDD 40

KDD Testing Machine Learning Modeling 40