Corvin Jaedicke
Corvin is on a mission to hone his skill and understanding of Deep Learning on audio data - his tools of choice are Python and TensorFlow. With a background in Music Information Retrieval, his first love was developing models for Automatic Instrument Transcription. Currently, he is working as a Data Scientist for AIM @Deutsche Bahn in Frankfurt, where he helps develop methods to make predictive maintenance based on sound data of heavy machinery a reality for clients in- and outside the DB group.
Events
Title | Day | Room | Track | Start | End |
---|---|---|---|---|---|
Predictive Maintenance from milliseconds to months |
Sunday | UB5.132 | HPC, Big Data, and Data Science | 12:00 | 12:25 |