Domino Data Lab

AUGUST 8, 2019

Meanwhile, many organizations also struggle with “late in the pipeline issues” on model deployment in production and related compliance. then building machine learning models to recommend methods and potential collaborators to scientists. The probabilistic nature changes the risks and process required.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

The Unofficial Google Data Science Blog

JUNE 30, 2016

The choice of space $cal F$ (sometimes called the model ) and loss function $L$ explicitly defines the estimation problem. In the presence of model misspecification, the estimator $hatpsi$ is inconsistent. the curse of dimensionality). These spaces are larger than $cal{F}_textrm{logistic}$ above.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Domino Data Lab

JULY 9, 2019

Diving into examples of building and deploying ML models at The New York Times including the descriptive topic modeling-oriented Readerscope (audience insights engine), a prediction model regarding who was likely to subscribe/cancel their subscription, as well as prescriptive example via recommendations of highly curated editorial content.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

O'Reilly on Data

MAY 27, 2020

In 2001, just as the Lexile system was rolling out state-wide, a professor of education named Stephen Krashen took to the pages of the California School Library Journal to raise an alarm. The report has pages of careful caveats, but in the end it treats these risk-adjusted ratios as a good measure of a surgeon’s performance.

Risk 355

Risk Testing Reporting Measurement 355

The Unofficial Google Data Science Blog

AUGUST 27, 2019

To demonstrate this issue, consider the following toy example of near-optimal importance sampling with categorical scores: Score Prevalence Population Proportion Sample Proportion Low Risk 0.1% High Risk 10% 5% 33.3% 2] Lawrence Brown, Tony Cai, Anirban DasGupta (2001). We hope you see similar gains in your application.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

CIO Business Intelligence

APRIL 22, 2022

The certification focuses on managing, budgeting, and determining scope for multiple projects, multiple project teams, and assessing and mitigating interdependent risks to deliver projects successfully. 11, 2001, terrorist attacks to address issues of cyberterrorism and the information security of nations at large. Price: $280.

Management 111

Management Cost-Benefit Testing Risk 111

Domino Data Lab

JANUARY 6, 2019

What are the projected risks for companies that fall behind for internal training in data science? Also, clearly there’s no “one size fits all” educational model for data science. The Berkeley model addresses large university needs in the US. In business terms, why does this matter ? NASA persistently misspells Jupyter.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Cloudera

SEPTEMBER 4, 2018

Following the September 11th attacks in 2001, focus shifted towards fighting terrorism and terrorist funding. The financial system evolves as new business models emerge and new instruments are introduced into the market. History tells us that the AML landscape is constantly changing.

Reporting 43

Reporting Finance Sales Marketing 43