Larysa placed the start of her journey in the country she was born in, the Soviet Union, with her discovery of those books filled with 0s and 1s that she could not understand. Fast forward a few years, and she is hooked by Maths and Computer Science and doesn't want to do anything else. After her Master's degree in Odessa, she moved to Germany and studied again. From then on, we talked about how she pursued a Ph.D., pivoted on the problem she was tackling, and discovered a new field ML-Ops. We discussed the state of ML-Ops, how it is placed in the "Data" and ML problem chain, and how one should go at it.Here are the links from the show

• https://www.twitter.com/visenger
• ops.org/">https://ml-ops.org/
• ops.org/content/phase-zero">https://ml-ops.org/content/phase-zero
• ops.org/content/end-to-end-ml-workflow">https://ml-ops.org/content/end-to-end-ml-workflow
• https://github.com/visenger/awesome-mlops
• in-data-ai.tech/">https://women-in-data-ai.tech/
• https://mlops.community/
• https://www.linkedin.com/in/larysavisenger/
• https://www.goodreads.com/book/show/530415.The_Art_of_Doing_Science_and_Engineering

Credits

• Cover Legends by HoliznaCC0 is licensed CC0 1.0 Universal License.
• Your host is Timothée (Tim) Bourguignon; more about him at timbourguignon.fr.
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