Risk Management, Statistics and Workshop

Why you should care about debugging machine learning models

O'Reilly on Data

DECEMBER 12, 2019

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. While our analysis of each method may appear technical, we believe that understanding the tools available, and how to use them, is critical for all risk management teams.

Machine Learning

Machine Learning Modeling Testing Risk Management

The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

JANUARY 11, 2021

Value Management or monetization. Risk Management (most likely within context of governance). Product Management. 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.

Data Analytics

Data Analytics Analytics Data-driven Finance

Data Leaders Brief

Why you should care about debugging machine learning models

The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Webinars

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