Understand the key concepts of interpreting machine learning models by analyzing real-world data, providing you with a wide range of skills and tools to decipher the results of even the most complex models. In this session, learn about the following things: 1. What are Black Box models? 2. Why is it important to build explainable, fair, and robust high-performance models? 3. Challenges of machine learning interpretability and how to overcome them? 4. How to mitigate the influence of bias in dataset? 5. Importance of Interpretability in times of LLMs like ChatGPT, Claude etc During the live event, you can ask more questions! We will try to get all the questions answered during the event. We will also giveaway Ecopies to 2 lucky winners during the session. Comment with #PACKT to enter the raffle