Safety and Reliability in AI Systems: Learning Path Conclusion

In this nugget, we arrive at the conclusion of our learning path. The primary aim of this final installment is to provide a comprehensive overview of the key concepts we’ve explored throughout the learning path, particularly focusing on the themes of generalization and robustness.
We will shed light on the intricate interactions between these two fundamental aspects of machine learning, demonstrating how they influence the performance and reliability of models.
Finally, we will unravel the critical notion of the robustness-accuracy trade-off, unveiling how it plays a pivotal role in the development and deployment of machine learning models.