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MLOps Engineering Labs Recap Part 1

Posted Feb 23, 2021 | Views 454
# Open Source
# Panel
# Model Serving
# Interview
# Overstock.com
# neu.ro
# bnb.gov.br
# codify.ai
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SPEAKERS
John Savage
John Savage
John Savage
Machine Learning Scientist @ Overstock.com
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Michel Vasconcelos
Michel Vasconcelos
Michel Vasconcelos
Software Architect @ Banco do Nordeste
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Alexey Naiden
Alexey Naiden
Alexey Naiden
Software Engineer @ Neu.ro
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Varuna Jayasiri
Varuna Jayasiri
Varuna Jayasiri
Full-stack / Deep Learning Engineer @ Codify
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Demetrios Brinkmann
Demetrios Brinkmann
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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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

This is a deep dive into the most recent MLOps Engineering Labs from the point of view of Team 1. John, Michel, Varuna, and Alexey were able to walk us through everything from the design decisions they made to how they iterated on the original plan. So for this coffee session, Demetrios spoke with Team 1 about what the engineering labs cohort was like for them. We dug in deep not only to the problems they faced with MLflow and Pytorch but also their experience of being thrown on a team with little to no guidance. Basically, we threw them off the deep end when they barely knew how to swim! Check the diagram Link here., This is a deep dive into the most recent MLOps Engineering Labs from the point of view of Team 1. John, Michel, Varuna, and Alexey were able to walk us through everything from the design decisions they made to how they iterated on the original plan. So for this coffee session, Demetrios spoke with Team 1 about what the engineering labs cohort was like for them. We dug in deep not only to the problems they faced with MLflow and Pytorch but also their experience of being thrown on a team with little to no guidance. Basically, we threw them off the deep end when they barely knew how to swim! Check the diagram Link here., This is a deep dive into the most recent MLOps Engineering Labs from the point of view of Team 1. John, Michel, Varuna, and Alexey were able to walk us through everything from the design decisions they made to how they iterated on the original plan. So for this coffee session, Demetrios spoke with Team 1 about what the engineering labs cohort was like for them. We dug in deep not only to the problems they faced with MLflow and Pytorch but also their experience of being thrown on a team with little to no guidance. Basically, we threw them off the deep end when they barely knew how to swim! Check the diagram Link here., This is a deep dive into the most recent MLOps Engineering Labs from the point of view of Team 1. John, Michel, Varuna, and Alexey were able to walk us through everything from the design decisions they made to how they iterated on the original plan. So for this coffee session, Demetrios spoke with Team 1 about what the engineering labs cohort was like for them. We dug in deep not only to the problems they faced with MLflow and Pytorch but also their experience of being thrown on a team with little to no guidance. Basically, we threw them off the deep end when they barely knew how to swim! Check the diagram Link here.

+ Read More

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