Celine Xu

When Machine Learning Meets Fashion

Introduce the conflicts between Fashion and Machine learning; Summarise the limitation of current image recognition capabilities for fashion feature detection; Share ideas about how could industry better leverage machine learning in fashion industry.

Celine is a lead data scientist from H&M group, who is passionate about leveraging machine learning and new technologies to support decisions, to improve company performance and to drive company digitalization. Celine has 9+ years’ experience in AI and advance analytics, focusing on fashion, retail, and banking industry. She has an applied mathematics degree from China and MBA from UK.

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