Speaker: David Smith

Cloud Developer Advocate @Microsoft

David is Cloud Developer Advocate for Microsoft, specializing in the topics of artificial intelligence and machine learning. Since 2009 he has been the editor of the Revolutions blog http://blog.revolutionanalytics.com where he writes regularly about applications of data science with a focus on the programming language "R", and is also a founding member of the R Consortium. He lives with his husband and two Jack Russell terriers in Chicago, where he also serves on the board of the Center on Halsted.

Find David Smith at

Talk : R for AI developers Speaker Office Hours

Talk : The Case for R for AI developers

Tracks

  • Deep Learning Applications & Practices

    Deep learning lessons using tooling such as Tensorflow & PyTorch, across domains like large-scale cloud-native apps and fintech, and tacking concerns around interpretability of ML models.

  • Predictive Data Pipelines & Architectures

    Best practices for building real-world data pipelines doing interesting things like predictions, recommender systems, fraud prevention, ranking systems, and more.

  • 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

  • Real-world Data Engineering

    Showcasing DataEng tech and highlighting the strengths of each in real-world applications.