Hey Byron, thanks for the post and the fantastic summary on MLOps.You mentioned that Feature Store + Kubeflow = 90% ideal MLOps Platform. What would the remaining 10% be? Fairing? Responsible AI including…Jun 8, 2021Jun 8, 2021
Published inTDS ArchiveWhat the Ops are you talking about?Choosing the right ops for your team — DataOps vs. MLOps vs. DevOps vs. AIOpsJan 12, 2021Jan 12, 2021
Published inTDS ArchiveLaunching Into Uncertainty — 6 Smart Steps to Future-Proof Your ML ModelsYour machine learning model is going to fail in the pandemic. Here’s how to mitigate the damage.May 24, 2020A response icon1May 24, 2020A response icon1
Published inTDS Archive3 Tips You Need to Save Your Data Science Project ScopeNever spend time building a monster-app that is miles away from the original proposal. And be blamed for it. Tips with churn model example.Apr 29, 2020Apr 29, 2020
Published inTDS ArchiveRise above the ordinary — a data science reading listAn hour reading sprint a day to keep your knowledge broad and up-to-dateApr 14, 2020A response icon1Apr 14, 2020A response icon1
Published inTDS Archive3 Tips on Defining a Data Science Project Scope with BusinessHow to translate the conquer-the-world-magic-button-in-the-cloud business question into a problem that can be solved mathematicallyAug 14, 2019A response icon1Aug 14, 2019A response icon1
Published inGood Audience5 Reasons Why You Should Join Deep Learning Indaba 2019In April this year, instead of organising my 20-something birthday party, I spent hours writing motivating emails to my company to convince…Sep 26, 2018A response icon4Sep 26, 2018A response icon4
