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-…
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[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…
6/ Challenge #1: Low prevalence makes collecting good training data expensive. As systems go through maturity phases, different techniques prove most effective (related - checkout this excellent post by @eugeneyan eugeneyan.com/writing/bootst…)
8/ Challenge #3: Drift is widespread. Your entire system needs to be adaptive (ML models, business rules, annotation guidelines etc). Invest in robust measurement of the ecosystem, model and data. These can inform how model retraining, prioritizing data collection etc.
1/ Content Moderation: Reducing harm to the user community and the platform from illegal/undesirable content (typically with hybrid human + #MachineLearning systems). 3 learnings from having worked on it at @facebook & talking to engineers who've worked on it elsewhere:
The @stateofaireport 2021 is live! Est. 2018, @soundboy and I compile the most important work in AI research, industry, talent, and politics to inform conversation about the #stateofai. Our report is open-access to all. Here's a director's cut 🧵: stateof.ai
Check this out!! Matt Turck's ML and AI landscape. #MachineLearning #ArtificialIntelligence #AI #MLOps
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…
Cool that my Annoy library is used at the LHC. Presentation by @AMROUCHEsabrina: indico.cern.ch/event/742793/c… (thanks @protocol7 for finding)
Good list of AI newsletters to keep up with a lightning fast industry. #MachineLearning #AI #MLOps
Check out this list of AI newsletters put together by @andrey_kurenkov: medium.com/@andreykurenko…. Appreciate the shoutout!
In this upcoming event, @rish_bhargava is discussing similarities and differences between ML and Analytics across tools and applications. Sign up here: eventbrite.de/e/similarities…
Take a look at the latest edition of @mlopsroundup with really cool info on inferring concept drift using unsupervised techniques on the feature set as well as NLP in legal settings. #MachineLearning #MLOps
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…
Wrote a blog post for @StanfordHAI about the role that NLP can play in analyzing the big mountains of hearing transcripts that our criminal justice system produces. To make things better, not worse. hai.stanford.edu/news/natural-l…
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
@LM_Braswell Happy to chat and trade notes! @nihit_desai and I have been following this space for a while and write @mlopsroundup as well.
Sample Newsletters: - Analytics Engineering (@jthandy) - Import AI (@jackclarkSF) - Data Elixir (@lonriesberg) - NLP News (@seb_ruder) - Your Guide to AI (@nathanbenaich) - The Algorithm (@_KarenHao) - @mlopsroundup - @PTKDaily - @TheSequenceAI
I joined Snorkel because I was inspired by the team + vision for a unique data-centric approach to transform every step of the AI lifecycle. Two years later and somehow I'm more excited than I was, and there's even more left to do. Come join us!🦄
We are delighted to announce our $85 million Series C at a $1 billion valuation to accelerate #DataCentricAI, with funding by @BlackRock, Addition Capital, @lightspeedvp, @GreylockVC, @googleventures, and more. Read more in @Fortune ↓ snkl.ai/seriesc
@mlopsroundup @annargrs @MadeWithML @MLOpsWorld Thanks for the mention 👍😃
Can you detect COVID-19 using Machine Learning? 🤔 You have an X-ray or CT scan and the task is to detect if the patient has COVID-19 or not. Sounds doable, right? None of the 415 ML papers published on the subject in 2020 was usable. Not a single one! Let's see why 👇
In personal news, I’m thrilled to announce that I’ll be joining @MIT as tenure-track assistant professor in July 2022! My lab will investigate neural scene representations, inverse graphics, neural rendering, and their applications in vision, graphics, robotics, and AI! (1/n)