For the entertainment of the King's court, makars like #WilliamDunbar and #WallterKennedy would #flyte - a poetic contest of metaphor laden light sabres flashing wit and deadly insult! https://en.wikipedia.org/wiki/The_Flyting_of_Dunbar_and_Kennedie
Howsomever the Monarchs dae their ain flyting these days. A sad thing for makars tae watch.
#flyte #wallterkennedy #williamdunbar
🔊 #NowPlaying on #BBC6Music's #TheMorningAfterMix
Flyte:
🎵 Never Get To Heaven
#nowplaying #bbc6music #TheMorningAfterMix #flyte
Episode 405 – Breaking Todd… the music that molded FastFret
#podcast #music #musician #sultansofswing #downchildbluesband #theeagles #muchmusic #flyte #vanhalen #stevevai #crossroads #lynyrdskynyrd #zztop
https://player.captivate.fm/episode/ac2ef8ab-840c-433d-9887-bd8ece39b322
#podcast #music #musician #sultansofswing #downchildbluesband #TheEagles #muchmusic #flyte #vanhalen #stevevai #crossroads #lynyrdskynyrd #zztop
Episode 405 – Breaking Todd… the music that molded FastFret
#podcast #music #musician #sultansofswing #downchildbluesband #theeagles #muchmusic #flyte #vanhalen #stevevai #crossroads #lynyrdskynyrd #zztop
https://player.captivate.fm/episode/ac2ef8ab-840c-433d-9887-bd8ece39b322
#podcast #music #musician #sultansofswing #downchildbluesband #TheEagles #muchmusic #flyte #vanhalen #stevevai #crossroads #lynyrdskynyrd #zztop
I've been looking at different orchestration tools for #MLOps and was curious about where's the community heading these days.
Of course, GitHub stars are a flawed metric for that, but still... I was curious.
Here's what I found. The main goal was that it needed to be open source. And goes without saying that these tools are not completely alike.
Let me know if there's any tool missing.
#machinelearning #datascience #kubernetes #airflow #flyte #kubeflow #mlflow #argo #polyaxon
#MLops #machinelearning #DataScience #kubernetes #airflow #flyte #kubeflow #mlflow #argo #polyaxon
The Union.ai team is discussing the results from a semi-structured interview study of ML engineers spanning different organizations and applications to understand their workflow, best practices, and challenges.
The authors found that "successful MLOps practices center around having high velocity, validating as early as possible, and maintaining multiple versions of models for minimal production downtime."
This is a Union.ai event!
https://www.meetup.com/seattle-data-machine-learning-and-infrastructure/events/289918230/