MLOpsRoundup @mlopsroundup
Why is ML in the real world difficult? This newsletter brings together the best articles, news and papers. By @rish_bhargava and @nihit_desai. mlopsroundup.substack.com Joined September 2020-
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👀 Join us on May 27th at 9am PT for a live event with @josh_wills (@WeaveGrid, Slack, Cloudera, Google) and @nihit_desai (Refuel, Meta, Linkedin) on building real world machine learning systems. Bring your q's! us06web.zoom.us/webinar/regist…
Refuel.ai is sponsoring a limited number of seats in the upcoming MLOps course with @nihit_desai! Apply here: corise.com/course/mlops
I'll be speaking at the #DataAISummit in San Francisco this year! On drift, model monitoring and feedback for human-in-the-loop #MachineLearning systems Check out the complete agenda (with a stellar lineup of keynotes and breakout sessions) here: databricks.com/dataaisummit/n…
[New Post] The 2022 edition of Emerging Architectures for Data Infrastructure is out today! We argue *platforms* are taking shape in the data ecosystem (though very early) - detailed architectures & analysis in the post (w/ @martin_casado, @JenniferHli) future.a16z.com/emerging-archi…
A new (mini) edition of our newsletter is out, with an exciting announcement: "MLOps - from Models to Production", a 4-week course that we are developing in partnership with @corise_, is almost ready to go live! The first iteration starts 5/2. Details👇 mlopsroundup.substack.com/p/issue-31-a-n…
👋 After a brief hiatus, a new edition of our newsletter is out! Learnings from building ML platforms at @NetflixEng, @DoorDashEng & @SpotifyEng; explainable ML for healthcare; @beondeck Data Science; hybrid human/ML systems for Integrity; and more: mlopsroundup.substack.com/p/issue-30-ml-…
New edition of the newsletter is here! We cover the 2021 State of AI report by @nathanbenaich and @soundboy, the annual @kaggle survey on trends in data science, new ML resources by @FeatureformML and @Databand_ai and more. Check it out here: mlopsroundup.substack.com/p/issue-29-sta…
Happy Monday folks! Kick off the week with our latest newsletter. We cover @mattturck's ML Data and AI landscape; @eugeneyan's ApplyingML project; a paper on COVID border testing; @aronMaurer's post on blocking spam at Slack, and more.. Check it out: mlopsroundup.substack.com/p/issue-28-mad…
Data Science Weekly - Issue 410 - mailchi.mp/datasciencewee…
I recently did an interview with @eugeneyan, where I share some thoughts on the machine learning infra and tooling ecosystem, and my experience building ML systems. You can check it out here: applyingml.com/mentors/nihit-…
In our latest edition, we cover a paper on the machine learning challenges in medical imaging, discuss a recent article on machine unlearning by @tsimonite, share @DoorDashEng strategies for matching supply and demand, and much more. Check it out: mlopsroundup.substack.com/p/issue-27
Despite the potential of machine learning, it still isn’t a mainstream business tool. Better data-centric MLOps tooling can play a major role in making sure every machine learning project is successful. 👉 openview.vc/3k6DuG6
Our newsletter turned 1 today! 🎉 Thank you to all our readers for your support, it's a pleasure to be on this journey with all of you
Check out this list of AI newsletters put together by @andrey_kurenkov: medium.com/@andreykurenko…. Appreciate the shoutout!
Anomaly detection by @GoogleAI; Inferring concept drift @andrew_reed_r and @NishaMuktewar; Applying NLP in legal hearings by @CatalinVoss and @StanfordHAI .. all this and more in our latest newsletter: mlopsroundup.substack.com/p/issue-26-con…
New research alert! Our own @andrew_reed_r and @NishaMuktewar have been exploring the issue of detecting concept drift when the cost of obtaining labeled data to validate model performance is high. Check out our latest report here: concept-drift.fastforwardlabs.com
Three excellent resources for mastering Machine Learning cutt.ly/VWYL7Nv #MachineLearning #Python @mlmemoirs @machinelearnTec @inside_ai @mlopsroundup @gradientpub @jackclarkSF @DeepLearningAI_ @mrdbourke @paperswithcode @jjding99 @charlotte_stix @Neural @AndyHorvitz
In the latest newsletter we cover @Tesla AI Day; a paper on Feature Stores by Stanford, Uber and Apple; a recent @NIST proposal on reducing AI bias; ML Monitoring by @nubank and more: mlopsroundup.substack.com/p/issue-25-tes…
AI for self-driving at @Porsche; Bootstrapping labels for ML by @eugeneyan; a recent MLOps Twitter thread by @neal_lathia; new tools for ML are more.. check out our latest newsletter! mlopsroundup.substack.com/p/issue-24-ai-…
Sarah Catanzaro @sarahcat21
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Charles Highsmith @Highsmith_Chuck
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Andrew Ng @AndrewYNg
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Toronto Machine Learn... @TMLS_TO
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Superb AI @superb_hq
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