Speaker: Michael Manapat

Head of Conversion Products @Stripe

Michael Manapat manages Stripe’s Conversion Products group. He was previously a Software Engineer at Google, a postdoctoral fellow in applied mathematics at Harvard, and graduate student in mathematics at MIT.

Find Michael Manapat at

Talk : Counterfactual Evaluation of Machine Learning Models

Other talks from track ML in Action

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.