Common Mistakes in the ML Development Lifecycle // Kseniia Melnikova // MLOps Meetup #65

MLOps community meetup #65! Last Wednesday we talked to Kseniia Melnikova, Product Owner (Data/AI), SoftwareOne.

//Abstract
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.

//Bio
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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Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Kseniia on LinkedIn: https://www.linkedin.com/in/kseniia-melnikova/

Episode source