Speaker: Dana Sheahen

Robotics @Udacity

Dana currently works as a Curriculum Lead for Udacity leading their Robotics Nanodegree program content development in Mountain View, California. As a BSEE with an emphasis in software, she previously worked in a number of industry areas including automotive systems, medical instrumentation, and environmental data analysis. More recently, Dana obtained her Master’s in Computer Science from Georgia Tech with a specialty in Interactive Intelligence, and has focused on AI projects and AI education ever since.

Find Dana Sheahen at

Talk : NVIDIA Jetson

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.