Machine Learning @Scale is an invitation-only technical conference for data scientists, engineers and researchers working on large-scale applied machine learning solutions. ML is critical to a broader range of systems than ever before: from augmented reality to language technology and everything in between. Today’s ML practitioners face daunting scale challenges since their systems and services may be used by millions if not billions of customers.
In his talk entitled “Search and ranking at Bloomberg,” Parth Vasa, the Head of Data Science for Bloomberg Engineering, discussed the challenge of providing effective search for financial markets, balancing the need for accuracy and speed, the diversity of the data, and the difficulty of gaining an accurate picture of markets from moment to moment. He also described the ways in which machine learning is helping Bloomberg to address this challenge.