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Experiment Management: Rethink your ML workflow
Running machine learning initiatives is difficult. Why? How does a data science team handle reproducibility, loss of IP, visibility and tracking. Software engineering processes and tools simply don’t work for machine learning.

During this webinar, Niko Laskaris, will discuss machine learning experiment management and how platforms like this can help data science teams track, compare, explain and reproduce their ML experiments leading to improved team collaboration, productivity, and visibility.

This webinar is for data scientists to learn:
1. What is machine learning experiment management
2. How a tool like Comet.ml actually works and how it can benefit data scientists
3. Why software engineering practices don’t work for machine learning

Dec 10, 2019 02:00 PM in Eastern Time (US and Canada)

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Niko Laskaris
Data Scientist @Comet.ml