๐Ÿ’™โœˆ Simplifying the Machine Learning Lifecycle with MLflow

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๐Ÿ’•๐Ÿš€Hosted by Seattle Spark + AI, please register at https://www.meetup.com/Seattle-Spark-Meetup/

6:00pm-6:15pm: Welcome
6:15pm-7:00pm: MLflow: Managing the Machine Learning Lifecycle
7:00pm-7:45pm: Koalas: Unifying Spark and pandas API
7:45pm-8:00pm: Q&A and Wrap up.

A fun data science event focusing on the open-source data science technologies: MLflow and Koalas. While there will be slides, this will be a demo-heavy meetup!

MLflow: Managing the Machine Learning Lifecycle
In this session, we will discuss the Machine Learning lifecycle and the challenges associated with it.

Denny Lee is a Developer Advocate at Databricks. He is a hands-on distributed systems and data sciences engineer with extensive experience developing internet-scale infrastructure, data platforms, and predictive analytics systems for both on-premise and cloud environments. He also has a Masters of Biomedical Informatics from Oregon Health and Sciences University and has architected and implemented powerful data solutions for enterprise Healthcare customers. His current technical focuses include Distributed Systems, Apache Spark, Deep Learning, Machine Learning, and Genomics.

๐Ÿ’š๐Ÿ’™Thank you to all for your support to @NumFOCUS, your participation help us to bring awareness to NumFOCUS a 501(c)(3) nonprofit that supports and promotes world-class, innovative, open source scientific computing projects for Data Science, including: Pandas, Numpy, Sympy, IPython, Jupyter, Matplotlib and Julia.

๐ŸŒŸ๐Ÿ’•๐Ÿš€ Become a NumFOCUS Member! ๐Ÿ’š๐Ÿ’™
Help sustain the open source data stack by becoming a NumFOCUS member! https://numfocus.org/