Speaker: Keunwoo Choi

Research Scientist @Spotify

Keunwoo Choi is currently a Research Scientist at Spotify working with deep learning. Before working at spotify he worked for Naver Labs Corp and the Electronics and Telecommunications Research Institute. He has worked with music signal and deep learning, music information retrieval, technical translation, and various digital audio processing projects. Keunwoo received his Master of Science in Electrical Engineering and Computer Science from Seoul National University and his PhD from Queen Mary University of London.

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2019 Tracks

  • Predictive Data Pipelines & Architectures

    Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix

  • Sequential Data: Natural Language, Time Series, and Sound

    Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.

  • ML in Action

    Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud