4. Červen 2023
With organizations leveraging AI/ML solutions to transform their businesses, comes the need to ensure that models are trustworthy and understandable. For structured tabular data, known techniques (SHAP, LIME) have been proven effective in providing model and inference explainability. However, gaining model interpretability for unstructured, computer vision and NLP tasks requires innovative approaches. In this talk we will deep dive into the theory, methods and examples used in AWS Clarify to gain explainability on computer vision and NLP models and expand how they fit in the MLOps pipeline.
Machines can learn. Incredibly fast. Faster than you. They are getting smarter and smarter every day. They are already changing your world, your business and your life. Artificial intelligence revolution is here. Come and learn how to turn this threat into your biggest opportunity. This is not another academic conference. Our goal is to foster discussion between machine learning practitioners and all people who are interested in applications of modern trends in artificial intelligence. You can look forward to inspiring people, algorithms, data, applications, workshops and a lot of fun during three days as well as at two great parties.
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