Steven Kolawole

Steven Kolawole has his technical skillset cuts across Data Science and Software Engineering, with a bias for ML Research these days. His research interests focus on resource-efficient machine learning in terms of computational resources and low-resource/limited labeled data.

He is and has been heavily involved in varieties of ML subfields including ML Engineering, Software Engineering, Data Engineering, Data Science/Analytics, and Cloud Computing.

Steven is also big on knowledge sharing via community mentorship and collective growth, open-source development, meetups facilitation, speakership, technical writing, research, and he gets kicks from helping tech muggles find their feet.


Sessions

07-14
14:35
30min
Open Science: Building Models LIke We Build Open-Source Software
Steven Kolawole

The use of transfer learning has begun a golden era in applications of Machine Learning but the development of these models “democratically” is still in the dark ages compared to best practices in Software Engineering. I describe how methods of open-source software development can allow models to be built by a distributed community of researchers.

PyData: Ethics in AI
Liffey Hall 1