ML Ops: What is it REALLY?

ML Ops was very confusing to me at first. People were telling me it was useful, but would never tell me what it was. In this video I explain what ML Operations is (ML Ops), where it came from, and why learning it could be useful for your career. Be sure to check out the @KNNPodcast for some awesome interviews with people like Joe Reis! Check out the KNN clips channel for short insights from the show: https://www.youtube.com/c/KNNClips Ml ops came from Development Operations (devops). Dev ops are essentially anything that facilitates the collaboration between software teams or it operations teams. The goal is to make software repeatable, testable, and scalable. So how is ML Ops different? - Focus on exclusively ML projects - Different data needs than most software projects - Different types of testing and experimentation - Different tools used to monitor ML models Best place to learn ML ops is on the job. Still projects, conversations, communities, etc. are great! Special thanks to @JoeReisData (Joe Reis) for giving me some extra thoughts here! Articles I read on the topic: - https://blogs.nvidia.com/blog/2020/09/03/what-is-mlops/ (picture on the thumbnail) - https://neptune.ai/blog/mlops-what-it-is-why-it-matters-and-how-to-implement-it-from-a-data-scientist-perspective - https://www.datarobot.com/lp/what-is-mlops/ - https://devops.com/why-devops-is-like-football/ 0:00 Intro 0:22 Dev Ops? 1:12 Sports Metaphor 2:06 How is ML Ops Different 5:03 How is ML Ops Useful to You? #DataScience #KenJee #MLOps ⭕ Subscribe: https://www.youtube.com/c/kenjee1?sub_confirmation=1 🎙 Listen to My Podcast: https://www.youtube.com/c/KensNearestNeighborsPodcast 🕸 Check out My Website - https://kennethjee.com/ ✍️Sign up for My Newsletter - https://www.kennethjee.com/newsletter 📚 Books and Products I use - https://www.amazon.com/shop/kenjee (affiliate link) Partners & Affiliates 🌟 365 Data Science - Courses ( 57% Annual Discount): https://365datascience.pxf.io/P0jbBY