
January 2022

Issue #30: ML Platforms. On Deck Data Science. Explainability in Healthcare. Re:Invent. ML for Content Moderation.Happy New Year and welcome to the 30th issue of the MLOps newsletter. We have been on a bit of a hiatus from the newsletter (sorry that we can’t share…
October 2021

Issue #29: State of AI. Kaggle ML Survey. ML Deployment at Reddit. Inferentia. Welcome to the 29th issue of the MLOps newsletter. This one is going to be fairly image-rich - hope you enjoy it! 🖼️ In this issue, we briefly cover…

Issue #28: MAD Landscape. Covid-19 Border Testing. Blocking Spam@Slack. Applying ML. Scikit-learn 1.0.Welcome to the 28th issue of the MLOps newsletter. We really enjoyed writing this one, hope you enjoy it too! In this issue, we briefly cover Nihit’s…
September 2021

Issue #27: Medical Imaging Challenges. Machine Unlearning. Managing Supply and Demand. AI Sandbox. Welcome to the 27th issue of the MLOps newsletter. It is officially one year since we started writing this newsletter, and we are incredibly grateful…

Issue #26: Concept Drift. Anomaly Detection with Self-Supervision. NLP in Legal Applications. Models Per Customer?Welcome to the 26th issue of the MLOps newsletter. In this issue, we deep-dive into inferring concept drift, share a paper on outlier detection using…
August 2021

Issue #25: Tesla AI Day. Feature Stores. NIST on AI bias. Model monitoring tips. AI and COVID. Welcome to the 25th issue of the MLOps newsletter. In this issue, we cover Tesla AI Day, a short paper about gaps in feature stores, updates about the…

Issue #24: AI at Porsche. Efficient Inference. Bootstrapping Labels. Nearest-Neighbor Benchmarks. Welcome to the 24th issue of the MLOps newsletter. In this issue, we cover an interesting approach to autonomous vehicles at Porsche, discuss strategies…
July 2021


June 2021

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