O'Reilly on Data

JULY 15, 2019

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk. Machine learning developers are beginning to look at an even broader set of risk factors.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

O'Reilly on Data

MAY 27, 2020

So the state calculates and publishes a “Risk Adjusted Mortality Ratio”—a comparison between the actual number of observed deaths and the number that would be statistically expected, on average, for patients medically similar to those each doctor actually operated on. Mass produced and farm-to-table.

Risk 355

Risk Testing Reporting Measurement 355

Peter James Thomas

JUNE 20, 2019

Of course it can be argued that you can use statistics (and Google Trends in particular) to prove anything [1] , but I found the above figures striking. Feel free to substitute Data Lake for Data Warehouse if you want a more modern vibe, sadly it won’t change the failure statistics. . [5]. Source: Google Trends.

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. You see these drivers involving risk and cost, but also opportunity. Tukey did this paper. It’s a great read. It was called Hadoop.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JANUARY 6, 2019

I’ve been teaching data science since 2008 privately for employers – exec staff, investors, IT teams, and the data teams I’ve led – and since 2013, for industry professionals in general. What are the projected risks for companies that fall behind for internal training in data science? This is not a new gig, by any stretch.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

AUGUST 8, 2019

2008 – Financial crisis : scientists flee Wall St. The probabilistic nature changes the risks and process required. Putting discussions about security aside, the statistics competency required to confront fairness and bias issues for machine learning models in production set quite a high bar. machine learning?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Occam's Razor

SEPTEMBER 29, 2009

Use tools like Google Trends for Websites (or Compete or HitWise ) to analyze your performance… In the report above if you ( Hilton Hotels ) ran your campaigns in March 2008 (purple arrow) then you managed to accomplish nothing. It is important to point out I am simply doing outside-in analysis, a sport always fraught with risk.

Measurement 128

Measurement Metrics Analytics Marketing 128

O'Reilly on Data

JANUARY 25, 2021

in 2008 and continuing with Java 8 in 2014, programming languages have added higher-order functions (lambdas) and other “functional” features. Observability” risks becoming the new name for monitoring. Object oriented programming is up even more than functional programming: 29% growth since last year. Starting with Python 3.0

Machine Learning 363

Machine Learning Software Testing Technology 363

Jet Global

APRIL 5, 2021

Risk management. For example, pension funds must be able to pay pensioners during any economic conditions, including a crisis like 2008. This is achieved through thorough risk management strategies that are continually reviewed. Raising capital in the form of debt or equity. Acquiring new assets or other businesses.

Modeling 98

Modeling Forecasting Metrics Finance 98