O'Reilly on Data

MARCH 20, 2019

Benchmark models : An older or trusted interpretable modeling pipeline, or other highly transparent predictor, can be used as a benchmark model from which to measure whether a prediction was manipulated by any number of means. Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security. ACM (2018). URL: [link].

Modeling 227

Modeling Machine Learning Predictive Modeling Consulting 227

O'Reilly on Data

MARCH 23, 2023

BLOOM An open source model developed by the BigScience workshop. But Transformers have some other important advantages: Transformers don’t require training data to be labeled; that is, you don’t need metadata that specifies what each sentence in the training data means. Tokens are significant parts of a word.

IT 271

IT Modeling Testing Risk 271

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle. This was not statistic and we have not really explored this in any greater detail since. I suspect we should. There really is not one plan per se for everyone.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Andrew White

JANUARY 11, 2021

measuring value, prioritizing (where to start), and data literacy? But we are seeing increasing data suggesting that broad and bland data literacy programs, for example statistics certifying all employees of a firm, do not actually lead to the desired change. Great idea. I think some of our earlier webinars touch on these.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52