Mitigating Challenges Faced by Non-ML Experts using Automatic Machine Learning (AUTOML)

My research explores the intersection of Machine Learning (ML) and Automated Machine Learning (AutoML), acknowledging the challenges faced by non-ML experts in building accurate models due to the complexity of learning algorithms. I am attempting to enhance AutoML by incorporating ontologies as a strategy to enhance efficiency and accuracy. By introducing ontologies to express domain knowledge, my research provides an approach to leverage domain knowledge, potentially enabling an AutoML system to learn more quickly and accurately.