Computer Vision Meets Deep Learning: A Sports Fan Perspective
Sports played an important role in the development of Artificial Intelligence and Machine Learning. Chess has been an attractive application domain since the early days of AI due to intelligence and reasoning required to play this. Recently there has been an interest in applying AI and more specifically deep learning techniques for generating solutions for tasks ranging from interesting event detection to predicting results to enhance viewer’s experience and increase their engagement. This talk will give an overview of novel methodologies based on deep learning and computer vision for sports from a viewer’s perspective.
Huma Lodhi is the Lead Machine Learning Engineer at Sky. 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.