Deep Learning: An Insurance Perspective
Intelligent methodologies driven by deep learning have been focus of academic researchers and industry practitioners. These techniques are showing state-of-the-art performance in diverse areas ranging including Insurance. This talk will focus on the showing the successful applications of deep learning for different tasks ranging from risk modelling to claims settlement.
Huma is a principal data scientist at Direct Line Group. She has over 15 years of experience in Artificial Intelligence & Machine Learning across both industry and academia. She is an accomplished expert with hands on experience in development and application of Deep Learning, Kernel Methods, Relational Learning and Ensemble Methods for areas ranging from insurance to health care. She has a PhD in Machine Learning from university of London. She is a co-editor of two books and has published many research articles in leading AI & Machine Learning journals and conferences. She regularly speaks at industry events and is keen to transform industries by the use of Artificial Intelligence and Machine Learning.