O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. This is like a denial-of-service (DOS) attack on your model itself.

Modeling 219

Modeling Machine Learning Predictive Modeling Consulting 219

O'Reilly on Data

DECEMBER 12, 2019

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187

IBM Big Data Hub

NOVEMBER 29, 2023

This collaborative effort was strengthened by IBM cross-team engagement, enablement and support with customer success managers, tech specialists and IBM Consulting® Through a series of workshops and 2 sprints, Downer and IBM embarked on a journey of discovery and innovation. Downer was able to streamline modeling times with watsonx.ai

Predictive Modeling 65

Predictive Modeling Data-driven Data Science Forecasting 65

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade. See Ribeiro et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Decision Management Solutions

DECEMBER 8, 2020

Machine learning can improve operations, but only when its predictive models are deployed, integrated, and—most importantly—acted upon. In this workshop you’ll learn how to: Apply machine learning to business operations through the structure of CRISP-DM. Attendees will receive a full recording of the workshop.

Machine Learning 52

Machine Learning Data mining Predictive Modeling Data-driven 52

Juice Analytics

JANUARY 27, 2020

Data storytelling isn’t always easy ( What’s Easy and What’s Hard ), but our 30 Days to Storytelling is a good start (or ask about our workshop ). Is there a predictive model or best practice benchmark that adds insight to the data? This is where data storytelling comes in (and what we do best at Juice).

Predictive Modeling 109

Predictive Modeling Modeling Management IT 109

Andrew White

MAY 4, 2020

In the realm of AI and Machine Leaning, data is used to train models to help explore specific business issues or questions. The data used to train these models that are used to help improve decisions were based on data from an economy, a society, a world, that no longer exists. The models are practically useless.

Uncertainty 90

Uncertainty Data Quality Consulting Predictive Modeling 90