🛣 Finding your path in ML with NLP Engineer Urszula Czerwinska from The MLOps Podcast

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🛣 Finding your path in ML with NLP Engineer Urszula Czerwinska

1 hour 1 minutes Posted Apr 27, 2021 at 7:29 pm.

Podcast intro

Guest intro and how you got into data science

Finding your fit – research or industry and when to transition

What types of ML projects do you specialize in

ML explainability and interpretability

ML explainability with non-technical stakeholders

What problems does your team solve within the organization

ML in production – how to bring your ML projects from research to production

The tools you can't live without

Do you have a set process for productizing ML projects

Team structures and communication for data science teams

Who's in charge of setting up infrastructure for a project and job title discussion

Interesting tools and repositories you work with

How do you stay up to date

Biggest challenges for you in ML

Favorite and least favorite thing about being a data scientist

Handling a workplace that doesn't understand what a data scientist is

Data scientists are 🦄 53:30 Good papers you read recently

Tips to improve the data science workflow  

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Show notes

In this episode, I'm speaking with Urszula Czerwinska about her path as a data scientist, the projects she worked on, experiences gained as a data scientist, as well as the challenges she's overcome in bringing her machine learning (ML) into production.

Join our Discord community: https://discord.gg/tEYvqxwhah

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Timestamps:

Relevant Links:

- flair: https://github.com/flairNLP/flair

- AllenNLP: https://github.com/allenai/allennlp

- Papers with Code: https://paperswithcode.com/

- Dair.ai newsletter: https://dair.ai/newsletter/

- HuggingFace: https://huggingface.co/blog

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