Pathbreaking ways machine learning is disrupting the fashion industry - Think Big Data

We are already aware of machine learning codes disrupting the fashion retail market such as inventory management, virtual reality systems for apparel fitting and most commonly, recommendation systems based on consumer preferences, buying behavior, etc. I myself captured some of these in the post on ML applications in the e-commerce ecosystem, written a few months ago. Today, on a separate note, we'll look at some of the initiatives where machine learning is disrupting the consumer fashion market in some really novel and unique ways. In a way, these models are planning for a future where machines will be able to interpret art the way we do. Determining "Fashionability" Researchers at University of Toronto are working at building a machine learning model to help you improve your "fashionability".