Ramon Perez
Hello! I'm Ramon, a data scientist, researcher, and educator living in Sydney. I currently work as a freelance data professional and was previously a Senior Product Developer at Decoded, a technology education company based in the UK. While at Decoded, I created custom data science tools, workshops, and training programs for clients in industries ranging from retail to finance. Prior to that, I held roles at the intersection of education, data science, and research in the areas of entrepreneurship and strategy, alongside a few ventures in consumer behavior and development economics research in industry and academia, respectively. On the personal side, I enjoy giving talks and technical workshops and have had the privilege of participating in several conferences such PyCon, SciPy, PyData, and countless meetup events. In my spare time, I spend as much time as possible mountain biking and exploring many of the outdoor wonders Australia has to offer.
Sessions
Knowledge work is undergoing a transformative journey with machine learning (ML) but the interpretability of the models we interact with is still lagging behind the coolness and hype of the technologies using ML. This workshop seeks to address the gap between the speed at which we use and adopt ML and the pace at which we understand it. During the workshop, we will cover fundamental concepts and techniques of interpretable machine learning, and explore various explainability methods supported by the Alibi Explain library so that you can get started explaining your models. If you've been meaning to dive deeper into the field of interpretable ML, add interpretability to your workflows, find an alibi for your models, or are simply curious about the field, come and join us for a fun 90-minute interactive session on interpretable ML.