2025-08-12 –, Main Hall
This talk explores how Bayesian statistics enhances data literacy and model explainability, transforming complex data into actionable insights. Participants will learn to leverage these methods for more accurate predictions and informed decision-making in today's data-driven landscapewhen building Django AI applications.
This talk focuses on empowering individuals to interpret and communicate data more effectively using Bayesian methods. This approach simplifies complex models, making them transparent and accessible. By building intuitive, interpretable models, participants gain the ability to provide actionable insights. This topic bridges statistical rigor with practical application, deepening the understanding of data-driven decision-making. In the Fourth Industrial Revolution (4IR), mastering Bayesian methods is crucial for navigating the growing complexity of data, enabling more accurate predictions.
Brayan is a data scientist passionate about technical writing and open-source advocacy.
He volunteers at different developer communities across Africa including OSCA, CHAOSS Africa, and GDG Nairobi, and is also a GitHub Campus Expert. It makes him happier, and more balanced and gives him a stronger sense of purpose to innovate, share, and teach in and with the community rather than just for it.