O'Reilly on Data

DECEMBER 12, 2019

Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1] 1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. That’s where model debugging comes in. Currency amounts reported in Taiwan dollars.

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187

Jet Global

MAY 1, 2023

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. These tools prep that data for analysis and then provide reporting on it from a central viewpoint. These reports are critical to making decisions. that gathers data from many sources.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

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

Domino Data Lab

APRIL 21, 2021

Auxiliary techniques like relying on card holders to report fraudulent transactions have unfortunately proven to be ineffective [1]. The dataset contains transactions made by European credit card holders in September 2013, and has been anonymized – Features V1, V2, …, V28 are results from applying PCA on the raw data.

Statistics 69

Statistics Machine Learning Modeling Metrics 69