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ODSC Europe
Layer-wise Relevance Propagation Means More Interpretable Deep Learning

Layer-wise Relevance Propagation Means More Interpretable Deep Learning

ConferencesDeep LearningConferencesDeep LearningODSC Europeposted by Daniel Gutierrez, ODSC December 5, 2018

Wojciech Samek is head of machine learning for Fraunhofer Heinrich Hertz Institute. At ODSC Europe 2018, he spoke about an active area of research in deep learning: interpretability; layer-wise relevance propagation. Samek launched his lecture with the following preface on the rising importance of interpretability of deep... Read more
How to Play Fantasy Sports Strategically (and Win)

How to Play Fantasy Sports Strategically (and Win)

StatisticsConferencesDirichlet DistributionFantasy FootballMartin HaughODSC EuropeStatisticsposted by Paxtyn Merten November 30, 2018

Daily Fantasy Sports is a multibillion-dollar industry with millions of annual users. The Imperial College Business School’s Martin Haugh created a framework to best those users by modeling what they’ll do and constructing a team based on it. Haugh presented his research on how to play... Read more
Mail Processing with Deep Learning: A Case Study

Mail Processing with Deep Learning: A Case Study

ConferencesDeep LearningConferencesDeep LearningMachine LearningODSC Europeposted by Paxtyn Merten November 29, 2018

Businesses increasingly delegate simple, boring, and repetitive tasks to artificial intelligence. In a case study, Alexandre Hubert — lead data scientist of software company Dataiku’s U.K. operations — worked on a team of three to automate mail processing with deep learning. At ODSC Europe 2018, Hubert... Read more
Thomas Wiecki of Quantopian on ‘Minding the Gap’ Between Statistics and Machine Learning at ODSC Europe 2018

Thomas Wiecki of Quantopian on ‘Minding the Gap’ Between Statistics and Machine Learning at ODSC Europe 2018

ConferencesModelingStatisticsConferencesMachine LearningODSC EuropeStatisticsposted by Daniel Gutierrez, ODSC November 20, 2018

Key Takeaways: It’s important for data scientists to understand the so-called “gap” between statistics and machine learning, and how there actually is a lot of commonality between the two; it’s just a matter of how you look at things. PyMC3 is a very useful probabilistic programming... Read more
Active Learning: Your Model’s New Personal Trainer

Active Learning: Your Model’s New Personal Trainer

ConferencesModelingConferencesMachine LearningODSC Europeposted by Brandon Dey, ODSC November 20, 2018

First, some facts. Fact: active learning is not just another name for reinforcement learning; active learning is not a model; and no, active learning is not deep learning. What active learning is and why it may be an important component of your next machine learning project... Read more
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