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Common Mistakes in the AI Development Process

Posted May 26, 2021 | Views 718
# Presentation
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Kseniia Melnikova
Product Owner (Data/AI) @ SoftwareOne

Kseniia is a product owner for Data/AI-based products. Right now, she is working mostly with numeric data analysis, customer insights and product recommendations. Previously Kseniia worked at Samsung Research with the biometrics team. She was studying computer science in Russia(Moscow) and a little bit of management in South Korea (Seoul). One of the most interesting directions of research - Model Lifecycle Management Systems and Reproducibility.

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Demetrios Brinkmann
Chief Happiness Engineer @ MLOps Community

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

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SUMMARY

In this MLOps Meetup, we talked about the Machine Learning model lifecycle and development stages and then analyze the main mistakes that everybody does at each stage. Kseniia also provided the audience with solutions to the mistakes and we discussed existing tools for experiment management.

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