O'Reilly on Data
MARCH 20, 2019
The objective here is to brainstorm on potential security vulnerabilities and defenses in the context of popular, traditional predictive modeling systems, such as linear and tree-based models trained on static data sets. If an attacker can receive many predictions from your model API or other endpoint (website, app, etc.),
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).
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O'Reilly on Data
DECEMBER 12, 2019
If a model is going to be used on all kinds of people, it’s best to ensure the training data has a representative distribution of all kinds of people as well. Interpretable ML models and explainable ML. The debugging techniques we propose should work on almost any kind of ML-based predictive model.
Data Science 101
JUNE 10, 2019
They can clean large amounts of data, explore data sets to find trends, build predictive models, and create a story around their findings. Through our online workshops, we have prepared thousands of people for careers in data science. Data scientists are the bridge between programming and algorithmic thinking. Data Analysts.
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.
Andrew White
MAY 4, 2020
The models are practically useless. Oh, and by the way, you now have less time to make the decisions (see How to Manage Your Predictive Models During the Pandemic’s Rapid Changes ). As a result, the guidance for the decisions are useless too. The answer is to think and look “wideward”.
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
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