#productionml search results
Made this #tokkinghead in honor of @lishali88 and @spring_stream speaking to our @full_stack_dl #ProductionML group tonight - marveling at how much this tech has improved over the past year. Impressive machine learning behind this, can play with it here: tokkingheads.com
Looking forward to speaking at #CogX2021 in the Global Leadership Summit next Tuesday, 15th June at 4pm BST. Join this virtual session to discuss the essential components of #ProductionML and future trends in #MLOps ...
Thanks to everyone who joined my talk! Ping me or meet the @seldon_io team in the virtual expo to continue the discussion. #ProductionML #CogX2021
Implement transfer learning that delivers production value. This guide covers data requirements, learning rate schedules, and evaluation strategies. From vision models to language models, leverage existing AI investments wisely. 📈 #TransferLearning #ProductionML #AIEfficiency…
🎙 #PipelineConversations for the weekend! 🎉 Emmanuel Ameisen from @stripe talked about the end-to-end workflow in #productionML. @mlpowered He has a lot of experience as #MLEngineer and a mentor at @_InsightData Science. Check out his book in the comments #opensource #mlops
RT Paper Highlights-Challenges in Deploying Machine Learning: a Survey of Case Studies dlvr.it/RtkdG8 #productionml #academicpaper #machinelearning #mldeployment
📌 This is a bi-weekly reminder that there's a group of us that ask questions, chat, & pick each other's brains over all things #mlops, #mleng, & #productionml 👩🏻💻 Zoom reg 👉🏻 buff.ly/3Sd2YzF or Join us in the Youtube chat buff.ly/3QYghmy
Are you ready for tonight’s @mlopscommunity w/@tiangolo + @hwchase17 +@simba_khadder ? B/c these guys are! @anshuman_01_ + Simba @AWSloft #mlops #productionml
🎉🤩 Who else is stoked to attend Thursday's In-Person @mlopscommunity meetup w/ @tiangolo (@FastAPI ), @hwchase17 (@LangChainAI), & @simba_khadder (@FeatureformML )? 🤚 Deets: 🤝🏻 Networking & mixers 🍔 Food & Beverages 📍@AWSloft SF 🚨 𝗡𝗢𝗧𝗘: Limited seats. So don't forget…
First one up is @tiangolo giving everyone a reintroduction to @FastAPI for #productionml at the #mlops meetup, sponsored by @FeatureformML
Day 4: Research vs. Production - The Harsh Reality The shocking differences between ML in research and ML in production. This should be required reading for every ML student. #ProductionML #MLOps #DataScience
The big question the chapter starts with: When should you even USE machine learning? It's not a magic bullet. Spoiler: It needs data, patterns, and must be a predictive problem. Thoughts? What's been your biggest surprise moving from ML theory to production? #ProductionML
Building @WittyByte to help ML engineers practice exactly these scenarios. What's your worst production ML bug? Share below! 👇 (8/8) #ProductionML #MLOps #DataQuality #TechInterviews
Great ML engineers write great production code—not just experiments. #ProductionML #EngineeringExcellence
Model Pruning in Deep Learning bit.ly/2NfVX1s #productionml #modeloptimization #keras #wandb #tensorflow
I love having assumptions challenged. Recently I ran into 3️⃣ examples of production ml anti-patterns that are actually more popular than you think. In the 🧵below I dive into the key assumptions we make about performant #productionml (& #mlops) as well as their reasons why.
The platform approach to AI monitoring bit.ly/3kVFHlU #datascience #dataengineering #productionml #productionmonitoring
Don't miss our webinar tomorrow at 12pm ET on the Machine Learning Model Lifecycle! This webinar show you what the ML lifecycle is and why it's critical teams track models during the entire lifecycle. #ML #MLOps #ProductionML #ScalingAI Register here: comet-ml.zoom.us/webinar/regist…
Day 4: Research vs. Production - The Harsh Reality The shocking differences between ML in research and ML in production. This should be required reading for every ML student. #ProductionML #MLOps #DataScience
The big question the chapter starts with: When should you even USE machine learning? It's not a magic bullet. Spoiler: It needs data, patterns, and must be a predictive problem. Thoughts? What's been your biggest surprise moving from ML theory to production? #ProductionML
Implement transfer learning that delivers production value. This guide covers data requirements, learning rate schedules, and evaluation strategies. From vision models to language models, leverage existing AI investments wisely. 📈 #TransferLearning #ProductionML #AIEfficiency…
Great ML engineers write great production code—not just experiments. #ProductionML #EngineeringExcellence
teh biggly challege in balancing the trade-off between model efficiency and accuracy? That most projects can't articulate the impact of "bad" ML on the business -- srsly the biggest disconnect I see in connecting #productionML and ✨business valueTM✨
Choosing the right infrastructure for production ML is crucial for success. Explore key considerations in selecting the optimal tech stack. #ProductionML #Infrastructure #AI ai-infrastructure.org/choosing-the-r…
First one up is @tiangolo giving everyone a reintroduction to @FastAPI for #productionml at the #mlops meetup, sponsored by @FeatureformML
Are you ready for tonight’s @mlopscommunity w/@tiangolo + @hwchase17 +@simba_khadder ? B/c these guys are! @anshuman_01_ + Simba @AWSloft #mlops #productionml
🎉🤩 Who else is stoked to attend Thursday's In-Person @mlopscommunity meetup w/ @tiangolo (@FastAPI ), @hwchase17 (@LangChainAI), & @simba_khadder (@FeatureformML )? 🤚 Deets: 🤝🏻 Networking & mixers 🍔 Food & Beverages 📍@AWSloft SF 🚨 𝗡𝗢𝗧𝗘: Limited seats. So don't forget…
Thanks to all the folks that showed up to my talk today at @DataCouncilAI ! Slides will be released when the @FeatureformML crew head back to SF, with videos to be published as well 🙏🏻 #mlops #mlengineer #productionml #oss
Loved Emily’s point that “we confuse the means of testing with the purpose and reason for testing” Loving “protoduction” term #mlops #productionml #DataCouncil23
Looking forward to speaking at #CogX2021 in the Global Leadership Summit next Tuesday, 15th June at 4pm BST. Join this virtual session to discuss the essential components of #ProductionML and future trends in #MLOps ...
Thanks to everyone who joined my talk! Ping me or meet the @seldon_io team in the virtual expo to continue the discussion. #ProductionML #CogX2021
RT Paper Highlights-Challenges in Deploying Machine Learning: a Survey of Case Studies dlvr.it/RtkdG8 #productionml #academicpaper #machinelearning #mldeployment
First one up is @tiangolo giving everyone a reintroduction to @FastAPI for #productionml at the #mlops meetup, sponsored by @FeatureformML
Are you ready for tonight’s @mlopscommunity w/@tiangolo + @hwchase17 +@simba_khadder ? B/c these guys are! @anshuman_01_ + Simba @AWSloft #mlops #productionml
🎉🤩 Who else is stoked to attend Thursday's In-Person @mlopscommunity meetup w/ @tiangolo (@FastAPI ), @hwchase17 (@LangChainAI), & @simba_khadder (@FeatureformML )? 🤚 Deets: 🤝🏻 Networking & mixers 🍔 Food & Beverages 📍@AWSloft SF 🚨 𝗡𝗢𝗧𝗘: Limited seats. So don't forget…
📌 This is a bi-weekly reminder that there's a group of us that ask questions, chat, & pick each other's brains over all things #mlops, #mleng, & #productionml 👩🏻💻 Zoom reg 👉🏻 buff.ly/3Sd2YzF or Join us in the Youtube chat buff.ly/3QYghmy
Proud to share that Cory Johannsen, Software Engineer at @VertaAI, will be speaking at @implydata's Druid Summit 2022 next week! Tune into his breakout session on Tuesday, December 6 at 11:30 am PT. hubs.li/Q01tNb390 #druidsummit2022 #ML #productionML
Model Pruning in Deep Learning bit.ly/2NfVX1s #productionml #modeloptimization #keras #wandb #tensorflow
The platform approach to AI monitoring bit.ly/3kVFHlU #datascience #dataengineering #productionml #productionmonitoring
Don't miss our webinar tomorrow at 12pm ET on the Machine Learning Model Lifecycle! This webinar show you what the ML lifecycle is and why it's critical teams track models during the entire lifecycle. #ML #MLOps #ProductionML #ScalingAI Register here: comet-ml.zoom.us/webinar/regist…
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