AI Explained: A Data Scientist’s Guide to Explainable AI

Organizations are increasingly investing in explainable AI (XAI) to provide context and visibility into model behavior, bias, and predictions. By understanding the “how” and “why” behind models, data scientists and ML teams can optimize model performance and accelerate model deployment. Watch this webinar to learn: - The value of XAI for ML models - How to do XAI the right way - Why explainability is critical during experimentation and training AI Explained is our new AMA series featuring experts on the most pressing issues facing AI and ML teams.