Modeling Predictive Modeling Workshop 
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.
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]
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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).
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.
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.
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
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.
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