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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…
Rishabh Bhargava
and
Nihit Desai
Jan 24
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Issue #30: ML Platforms. On Deck Data Science. Explainability in Healthcare. Re:Invent. ML for Content Moderation.
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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…
Rishabh Bhargava
and
Nihit Desai
Oct 27, 2021
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Issue #29: State of AI. Kaggle ML Survey. ML Deployment at Reddit. Inferentia.
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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…
Nihit Desai
and
Rishabh Bhargava
Mar 18
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Issue #30.5: Special Announcement - A new course on MLOps!
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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…
Rishabh Bhargava
and
Nihit Desai
Oct 4, 2021
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Issue #28: MAD Landscape. Covid-19 Border Testing. Blocking Spam@Slack. Applying ML. Scikit-learn 1.0.
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Issue #15: AI for self-driving at Tesla. HuggingFace meets AWS. Embedding Stores. ML and Databases.
Welcome to the 15th issue of the MLOps newsletter. In this issue, we highlight a talk on self-driving cars at Tesla, discuss a partnership between…
Rishabh Bhargava
and
Nihit Desai
Apr 5, 2021
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Issue #15: AI for self-driving at Tesla. HuggingFace meets AWS. Embedding Stores. ML and Databases.
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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…
Nihit Desai
and
Rishabh Bhargava
Jun 28, 2021
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Issue #21: Selecting MLOps Capabilities. Continuous Delivery For ML. Static Language Modelling. Sharing Data with AWS.
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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…
Rishabh Bhargava
and
Nihit Desai
Sep 7, 2021
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Issue #26: Concept Drift. Anomaly Detection with Self-Supervision. NLP in Legal Applications. Models Per Customer?
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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…
Rishabh Bhargava
and
Nihit Desai
Jul 26, 2021
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Issue #23: AI Regulations. Efficient Active Learning. Model Health Assurance. Vertex Matching Engine.
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Issue #19: MLOps Tooling. Vertex AI. Explainable ML in Deployment. Algorithmic Justice.
Welcome to the 19th issue of the MLOps newsletter. In this issue, we will cover an insightful perspective on the MLOps tooling landscape, dive into a…
Nihit Desai
and
Rishabh Bhargava
May 31, 2021
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Issue #19: MLOps Tooling. Vertex AI. Explainable ML in Deployment. Algorithmic Justice.
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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…
Nihit Desai
and
Rishabh Bhargava
Aug 23, 2021
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Issue #25: Tesla AI Day. Feature Stores. NIST on AI bias. Model monitoring tips. AI and COVID.
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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…
Rishabh Bhargava
and
Nihit Desai
Sep 20, 2021
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Issue #27: Medical Imaging Challenges. Machine Unlearning. Managing Supply and Demand. AI Sandbox.
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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…
Rishabh Bhargava
and
Nihit Desai
Aug 9, 2021
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Issue #24: AI at Porsche. Efficient Inference. Bootstrapping Labels. Nearest-Neighbor Benchmarks.
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