Machine Learning Ops Roundup
Subscribe
Sign in
Home
Archive
About
More
return
;
New
Top
Discussion
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
2
Comment
Share
Share this post
Issue #30.5: Special Announcement - A new course on MLOps!
mlopsroundup.substack.com
Copy link
Twitter
Facebook
Email
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
4
Comment
Share
Share this post
Issue #30: ML Platforms. On Deck Data Science. Explainability in Healthcare. Re:Invent. ML for Content Moderation.
mlopsroundup.substack.com
Copy link
Twitter
Facebook
Email
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
2
Comment
Share
Share this post
Issue #29: State of AI. Kaggle ML Survey. ML Deployment at Reddit. Inferentia.
mlopsroundup.substack.com
Copy link
Twitter
Facebook
Email
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
2
Comment
Share
Share this post
Issue #28: MAD Landscape. Covid-19 Border Testing. Blocking Spam@Slack. Applying ML. Scikit-learn 1.0.
mlopsroundup.substack.com
Copy link
Twitter
Facebook
Email
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
1
Comment
Share
Share this post
Issue #27: Medical Imaging Challenges. Machine Unlearning. Managing Supply and Demand. AI Sandbox.
mlopsroundup.substack.com
Copy link
Twitter
Facebook
Email
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
1
Comment
Share
Share this post
Issue #26: Concept Drift. Anomaly Detection with Self-Supervision. NLP in Legal Applications. Models Per Customer?
mlopsroundup.substack.com
Copy link
Twitter
Facebook
Email
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
1
Comment
Share
Share this post
Issue #25: Tesla AI Day. Feature Stores. NIST on AI bias. Model monitoring tips. AI and COVID.
mlopsroundup.substack.com
Copy link
Twitter
Facebook
Email
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
2
Comment
Share
Share this post
Issue #24: AI at Porsche. Efficient Inference. Bootstrapping Labels. Nearest-Neighbor Benchmarks.
mlopsroundup.substack.com
Copy link
Twitter
Facebook
Email
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
Comment
Share
Share this post
Issue #23: AI Regulations. Efficient Active Learning. Model Health Assurance. Vertex Matching Engine.
mlopsroundup.substack.com
Copy link
Twitter
Facebook
Email
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…
Nihit Desai
and
Rishabh Bhargava
Jul 12, 2021
Comment
Share
Share this post
Issue #22: Github Copilot. CI/CD for ML at Scale. Concept Drift in Healthcare. Behavioral Testing.
mlopsroundup.substack.com
Copy link
Twitter
Facebook
Email
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
2
Comment
3
Share
Share this post
Issue #21: Selecting MLOps Capabilities. Continuous Delivery For ML. Static Language Modelling. Sharing Data with AWS.
mlopsroundup.substack.com
Copy link
Twitter
Facebook
Email
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…
Nihit Desai
and
Rishabh Bhargava
Jun 14, 2021
Comment
Share
Share this post
Issue #20: AI Playbook. Curating Data. MLOps Resources. ML for Covid.
mlopsroundup.substack.com
Copy link
Twitter
Facebook
Email
This site requires JavaScript to run correctly. Please
turn on JavaScript
or unblock scripts
