Data + AI Online Meetup | MLflow Integration with PyCaret and PyTorch

Join us for virtual tech talks at Data + AI Meetup about MLflow Integration with PyCaret and PyTorch sponsored by the Databricks MLflow Team. It will be simultaneously broadcasted live on YouTube and LinkedIn.

REGISTER FOR THIS EVENT HERE: https://www.meetup.com/data-ai-online/events/277711410/

Agenda:
9:00 - 9:05 AM: Introduction & Announcements
9:05 - 9:35 AM: Machine Learning made easy with PyCaret and MLflow
9:40 - 10:10 AM: Reproducible AI using MLflow and PyTorch

Quick links:
MLflow: https://mlflow.org/
PyCaret: https://pycaret.org/
PyTorch: https://pytorch.org/

Talk One

Title: Machine Learning made easy with PyCaret and MLfLow
Presenter: Moez Ali
Abstract: PyCaret is an open source, low-code machine learning library in Python that allows you to go from preparing your data to deploying your model within minutes in your choice of environment. This talk is a practical demo using PyCaret in your existing workflows and supercharges your data science team's productivity.

Bio: Moez Ali is a seasoned data scientist with a decade of experience working with data in healthcare, education, and professional consulting. He is an active member of the open source community, and he created and open-sourced PyCaret in 2020.

Talk Two

Title: Reproducible AI using MLflow and PyTorch
Presenter: Geeta Chauhan
Abstract: Model reproducibility is becoming the next frontier for successful AI models building and deployments for both Research and Production scenarios. In this talk, we will show you how to build reproducible AI models and workflows using PyTorch and MLflow that can be shared across your teams, with traceability and speed up collaboration for AI projects.

Bio: Geeta Chauhan leads AI Partnership Engineering at Facebook AI with expertise in building resilient, anti-fragile, large-scale distributed platforms for startups and Fortune 500s. As a core member of the PyTorch team, she leads TorchServe and many partner collaborations for building a solid PyTorch ecosystem and community.