Speaker:
Leah McGuire
Principal Member of Technical Staff @Salesforce

Leah McGuire is a Principal Member of Technical Staff at Salesforce, working on automating as many of the steps involved in machine learning as possible. Before joining Salesforce, Leah was a Senior Data Scientist on the data products team at LinkedIn. She completed a PhD and a Postdoctoral Fellowship in Computational Neuroscience at the University of California, San Francisco, and at University of California, Berkeley, where she studied the neural encoding and integration of sensory signals.

Find Leah McGuire at

Talk : Transmogrification: The Magic of Feature Engineering

Talk : The Black Swan of Perfectly Interpretable Models

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.