Webinars
Demystifying AI: Techniques and Methods for Explainable AI Models
Join us for the webinar: Demystifying AI: Techniques and Methods for Explainable AI Models
Discover how explainable AI enhances machine learning by making model decisions transparent, trustworthy, and actionable.
This session dives into how AI and machine learning techniques in IBM SPSS Statistics can be made interpretable using tools such as feature selection, decision trees, model rules, and counterfactual explanations. You’ll explore a predictive maintenance case study that uses historical data to uncover machine failure patterns and learn how human-led AI ensures expert oversight for responsible and effective deployment
What We’ll Cover:
- A clear review of machine learning options in IBM SPSS Statistics
- AI and Machine Learning
- Explainable AI and its importance
- Explainable AI example
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