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Issue #30.5: Special Announcement - A new course on MLOps!

Welcome to the latest issue of the MLOps newsletter. In this special (mini) edition of the newsletter we have some exciting news to share! MLOps: From…

Mar 18, 2022 •

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Rishabh Bhargava

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…

Jan 24, 2022 •

Rishabh Bhargava

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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…

Oct 27, 2021 •

Rishabh Bhargava

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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…

Oct 4, 2021 •

Rishabh Bhargava

and

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…

Sep 20, 2021 •

Rishabh Bhargava

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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…

Sep 7, 2021 •

Rishabh Bhargava

and

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…

Aug 23, 2021 •

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Rishabh Bhargava

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…

Aug 9, 2021 •

Rishabh Bhargava

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July 2021

Issue #23: AI Regulations. Efficient Active Learning. Model Health Assurance. Vertex Matching Engine.

Welcome to the 23rd edition of the MLOps newsletter. In this issue, we cover updates on AI regulations and frameworks in the EU and the US, a recent…

Jul 26, 2021 •

Rishabh Bhargava

and

Issue #22: Github Copilot. CI/CD for ML at Scale. Concept Drift in Healthcare. Behavioral Testing.

Welcome to the 22nd issue of the MLOps newsletter. In this issue, we cover OpenAI’s paper introducing Codex (their fine-tuned GPT language model for…

Jul 12, 2021 •

and

Rishabh Bhargava

June 2021

Issue #21: Selecting MLOps Capabilities. Continuous Delivery For ML. Static Language Modelling. Sharing Data with AWS.

Welcome to the 21st issue of the MLOps newsletter. In this issue, we cover some tips from Google Cloud on choosing the right MLOps capabilities, share…

Jun 28, 2021 •

and

Rishabh Bhargava

Issue #20: AI Playbook. Curating Data. MLOps Resources. ML for Covid.

Welcome to the 20th issue of the MLOps newsletter. In this issue, we will cover a McKinsey report on an AI playbook for executives, analyze a recent…

Jun 14, 2021 •

and

Rishabh Bhargava

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