Philosopher of Science Dan Li from CUNY will discuss her recent paper Machines Learn Better with Better Data Ontology: Lessons from Philosophy of Induction and Machine Learning Practice on August 25th 16:00 with us. In this paper Dan shows us how data ontology can be used to encode inductive assumptions which in turn makes inductive inferences in ML more reliable.
You are welcome to join the online discussion here: https://unistuttgart.webex.com/unistuttgart/j.php?MTID=m6cad9d067ae9594f0a07438710a3a5f2