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Explore the limitations and potential pitfalls of treating machine learning and AI algorithms as black boxes in this 52-minute conference talk. Discover real-world examples of failure cases for popular algorithms, from linear regression to cutting-edge deep learning, through live demonstrations. Learn to identify situations where standard algorithms may silently fail and gain insights on how to address these issues. Equip yourself with practical knowledge to better understand and implement AI solutions, even without extensive mathematics or software development expertise.
Syllabus
Breaking black-box AI - Evelina Gabasova
Taught by
NDC Conferences