PinnedInMl Ops by Mikiko BazeleybyMikiko Bazeley·Sep 28, 2021👩🏻💻 Miki’s 🔥Hot-Takes🔥 on MLE Interviews: Top Advice & Resources (Part 2/2)The second part of a loquacious guide to resources, tips, & lessons learned interviewing for Machine Learning Engineer roles.
PinnedInMl Ops by Mikiko BazeleybyMikiko Bazeley·Sep 19, 2021👩🏻💻 Miki’s 🔥Hot-Takes🔥 on MLE Interviews: Types of Roles & Interview Prep (Part 1/2)The first part of a loquacious guide to resources, tips, & lessons learned interviewing for Machine Learning Engineer roles.A response icon1A response icon1
PinnedInMl Ops by Mikiko BazeleybyMikiko Bazeley·Nov 10, 2020✂️Breaking into Data Science -Getting the DS Offer & Next Steps (Ch.4)🔍Getting the data scientist job offer and next steps. Advice for navigating the process.A response icon1A response icon1
PinnedInMl Ops by Mikiko BazeleybyMikiko Bazeley·Feb 22, 2020✂️Breaking into Data Science — From Hair Salon to Data Scientist (Ch.1)🔍From hair salon girl to data scientist w/no MS or PhD. This section covers my background and my early professional career.
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Mikiko Bazeley·Mar 9, 2023A Discussion: Top Challenges of Moving Data Science to Production.We know MLOps and Production ML are hard.
InMl Ops by Mikiko BazeleybyMikiko Bazeley·Mar 9, 2023🤖 What An MLOps Engineer Does 💻📆 And What The Week Can Look LikeA response icon6A response icon6
InMl Ops by Mikiko BazeleybyMikiko Bazeley·Mar 6, 2023Data Science Bootcamps: How To Not Get Screwed & What To Look For To Get The Highest ROI PossibleA system of education is not one thing, nor does it have a single definite object, nor is it a mere matter of schools. Education is that…
InMl Ops by Mikiko BazeleybyMikiko Bazeley·Feb 23, 20235 Opportunities After Data Science: What To Do If Data Science Isn’t A Fit (Part 1/2)Life isn’t over, it just gets more interesting. #recoveringdatascientistA response icon1A response icon1
InMl Ops by Mikiko BazeleybyMikiko Bazeley·Feb 23, 20235 Opportunities After Data Science: What To Do If Data Science Isn’t A Fit (Part 2/2)Career Capital is meant to be deployed & as a data scientist you have plenty of it. #recoveringdatascientist