#mlops search results
๐๐จ๐ฐโ๐ฌ ๐ฒ๐จ๐ฎ๐ซ ๐ญ๐๐๐ฆ ๐๐๐ฅ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ฉ๐ฌ ๐๐ง๐ ๐๐๐๐ฉ๐ฌ ๐ญ๐จ๐๐๐ฒ? #๐๐๐๐ฉ๐ฌ ๐ค๐๐๐ฉ๐ฌ ๐ญ๐ก๐๐ฆ ๐๐ฅ๐ข๐ฏ๐. #๐๐๐๐ฉ๐ฌ ๐ค๐๐๐ฉ๐ฌ ๐ญ๐ก๐๐ฆ ๐ฅ๐๐๐ซ๐ง๐ข๐ง๐ .
โ๏ธ Build ML pipelines with #Azure CLI + YAML! ๐ Modular components ๐ Reusable workflows ๐ง Train, evaluate & deploy with ease Start here ๐msft.it/6014svH90 #MachineLearning #MLOps
[Excellent Book] #MachineLearning Design Patterns โ Solutions to Common Challenges in Data Preparation, Model-Building, and #MLOps: amzn.to/2W7YSy0 โโโโโโ #AI #ML #DataScience #DeepLearning #DataScientists
![KirkDBorne's tweet image. [Excellent Book] #MachineLearning Design Patterns โ Solutions to Common Challenges in Data Preparation, Model-Building, and #MLOps: amzn.to/2W7YSy0
โโโโโโ
#AI #ML #DataScience #DeepLearning #DataScientists](https://pbs.twimg.com/media/G2EYBkJXYAA7FFR.jpg)
Is Terraform worth learning? Is it useful even for small projects? Hereโs my take. #DevOps #MLOps #AI
10/22๏ผๆฐด๏ผใซMLOpsๅๅผทไผ10/22๏ผๆฐด๏ผใ้ๅฌใใพใ๏ผ ใ็ปๅฃใฏ @Getty708 ใML Pipeline ใฎ้็บใจ้็จใ OpenTelemetry ใง็นใ๏ผใใ @po3rin ใLangfuseใฎTraceๆธใ่พผใฟๅคฑๆใใๅญฆใถLLMOpsใๆฏใใๆ่กใใงใ๏ผ ใใฒใๅๅ ใใ ใใ๏ผ mlops.connpass.com/event/369838/ #mlops #mlopsใณใใฅใใใฃ
๐งฉ Build ML pipelines with #Azure ML SDK v2! ๐ผ๏ธ Prep data, train CNN, score results โก Fast, reusable, and production-ready ๐ฆ Fashion MNIST + Keras + YAML + Python Start here ๐msft.it/6011svHHz #MachineLearning #MLOps
โ๏ธ Made With ML (MLOps): Definitive guide to production-grade ML. ๐ github.com/GokuMohandas/Mโฆ #MLOps #AI #MachineLearning
I built llm-use-agentic, an autonomous LLM orchestrator that discovers models, adapts routing, and optimizes API usage. Itโs production-ready with monitoring, self-healing, and intelligent agent coordination. Check it out: github.com/llm-use/llm-usโฆ #AI #LLM #MLOps #opensource
๐ Join us for the Oct #Bangpypers meetup on Oct 11! Talks on: - ArgoCD / Workflow - End-to-End LLM Lifecycle with MLflow - Measuring & Optimising Python Memory Footprint RSVP + details๐ meetup.com/bangpypers/eveโฆ RSVP Closes tomorrow! #Python #MLOps #ArgoCD
Just dropped a new blog post! ๐ I'm breaking down how to move your machine learning projects from Docker to Singularity for use in high-performance computing (HPC) environments. Check it out! #MLOps #Docker #Singularity #HPC #MachineLearning mostafaelaraby.com/tutorials/2025โฆ
4 key ML training paradigms: - Transfer Learning - Fine-tuning - Multi-task Learning - Federated Learning Master these to level up your ML intuition #MachineLearning #AI #MLOps #METAA #MridulTiwari #KiteAI #SaWWorldTourDubai
Baseline first: define KPIs, guardrails, and rollback. Autonomy without oversight is just luck. #MLOps #AIGovernance
The best #DevOps, #DevSecOps, and #MLOps minds are coming together at #swampUP Europe ๐ Hear from JFrogโs Developer Advocate, Yonatan Arbel, on how weโre curating the sessions that make this event a canโt-miss experience. ๐ Register now to be part of it:โฆ
ๆจๆฅใฎ็ปๅฃ่ณๆใงใ๏ผ LLMใใใญใใฏใใซ็ตใฟ่พผใ้ใฎobservabilityใซใคใใฆ็บ่กจใใพใใ speakerdeck.com/ivry_presentatโฆ #mlops #MLOpsใณใใฅใใใฃ
I built llm-use-agentic, an autonomous LLM orchestrator that discovers models, adapts routing, and optimizes API usage. Itโs production-ready with monitoring, self-healing, and intelligent agent coordination. Check it out: github.com/llm-use/llm-usโฆ #AI #LLM #MLOps #opensource
10/22๏ผๆฐด๏ผใซMLOpsๅๅผทไผ10/22๏ผๆฐด๏ผใ้ๅฌใใพใ๏ผ ใ็ปๅฃใฏ @Getty708 ใML Pipeline ใฎ้็บใจ้็จใ OpenTelemetry ใง็นใ๏ผใใ @po3rin ใLangfuseใฎTraceๆธใ่พผใฟๅคฑๆใใๅญฆใถLLMOpsใๆฏใใๆ่กใใงใ๏ผ ใใฒใๅๅ ใใ ใใ๏ผ mlops.connpass.com/event/369838/ #mlops #mlopsใณใใฅใใใฃ
็ฉไฝๆคๅบใ็ปๅ่งฃๆใMLOpsใฎใใใใ่งฃ่ชฌใ้ฃไผใฎในใญใๆ้ใซๆๆฐใญใผใฏใผใใใใงใใฏโ #็ฉไฝๆคๅบ #็ปๅ่งฃๆ #mlops innovationhub.cac.co.jp/n/n2f3129b6ff1โฆ
1/ Most people can train a model. But few can run it reliably in the real world. Thatโs where MLOps comes in โ the bridge between machine learning and production. #AI #MLOps
4 key ML training paradigms: - Transfer Learning - Fine-tuning - Multi-task Learning - Federated Learning Master these to level up your ML intuition #MachineLearning #AI #MLOps #METAA #MridulTiwari #KiteAI #SaWWorldTourDubai
โ๏ธ Made With ML (MLOps): Definitive guide to production-grade ML. ๐ github.com/GokuMohandas/Mโฆ #MLOps #AI #MachineLearning
AI is eating software, but DevOps practices are evolving to help us digest it. How will #AIops and #MLOps reshape your workflow? #FutureOfWork
๐ฅ AIOps estรก en alta demanda en el mercado, pero ยฟpor quรฉ? codigofacilito.com/codigofest?utmโฆ Prepรกrate para aprender de Antonio Feregrino Staff MLOps Engineer en Simply Business #CรณdigoFest #IA #MLOps
Barr Moses maps ten shifts steering data teams into 2025 - from AI-native tooling to real-time governance. The standout for me: treating model observability as a product feature, not an after-thought. Easier said than done but spot on. #DataOps #MLOps #AI towardsdatascience.com/10-data-ai-obsโฆ
๐๐จ๐ฐโ๐ฌ ๐ฒ๐จ๐ฎ๐ซ ๐ญ๐๐๐ฆ ๐๐๐ฅ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ฉ๐ฌ ๐๐ง๐ ๐๐๐๐ฉ๐ฌ ๐ญ๐จ๐๐๐ฒ? #๐๐๐๐ฉ๐ฌ ๐ค๐๐๐ฉ๐ฌ ๐ญ๐ก๐๐ฆ ๐๐ฅ๐ข๐ฏ๐. #๐๐๐๐ฉ๐ฌ ๐ค๐๐๐ฉ๐ฌ ๐ญ๐ก๐๐ฆ ๐ฅ๐๐๐ซ๐ง๐ข๐ง๐ .
The discussion around AI susceptibility to 'data poisoning' struck a chord. I've found that robust data validation and diverse sourcing are non-negotiable. What's your strategy for ensuring AI model integrity in sensitive applications? #AI #MLOps
Data science and cloud native add new complexity. Learn how to build secure, scalable AI/ML pipelines at Cloud Native Now Virtual (Oct 30) with Ram Iyengar, Chief Evangelist at @cloudfoundry. ๐ buff.ly/SUTFMqc #CloudNativeNow #AI #MLOps #CloudNative #DevOps
5๏ธโฃFinal Thoughts Finishing this book + the FastAPI lessons feels like a turning point. Iโm not just learning to build models, Iโm learning to build them responsibly. Canโt wait to apply everything Iโve learned. #MachineLearning #AI #MLOps #FastAPI #ChipHuyen #100DaysOfML
End-to-end #ml Project Found a very good, guided project for machine learning. It starts from basic EDA and teaches to Integrating to #Mlops with tools like #zenML and #Mlflow for experiment tracking and deployment. Link : youtu.be/o6vbe5G7xNo?siโฆ
๐๐จ๐ฐโ๐ฌ ๐ฒ๐จ๐ฎ๐ซ ๐ญ๐๐๐ฆ ๐๐๐ฅ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ฉ๐ฌ ๐๐ง๐ ๐๐๐๐ฉ๐ฌ ๐ญ๐จ๐๐๐ฒ? #๐๐๐๐ฉ๐ฌ ๐ค๐๐๐ฉ๐ฌ ๐ญ๐ก๐๐ฆ ๐๐ฅ๐ข๐ฏ๐. #๐๐๐๐ฉ๐ฌ ๐ค๐๐๐ฉ๐ฌ ๐ญ๐ก๐๐ฆ ๐ฅ๐๐๐ซ๐ง๐ข๐ง๐ .
[Excellent Book] #MachineLearning Design Patterns โ Solutions to Common Challenges in Data Preparation, Model-Building, and #MLOps: amzn.to/2W7YSy0 โโโโโโ #AI #ML #DataScience #DeepLearning #DataScientists
โ๏ธ Build ML pipelines with #Azure CLI + YAML! ๐ Modular components ๐ Reusable workflows ๐ง Train, evaluate & deploy with ease Start here ๐msft.it/6014svH90 #MachineLearning #MLOps
AI is reshaping everything, but solid DevOps practices are now crucial to deploying these powerful tools responsibly and effectively. #AI #DevOps #MLOps
Just dropped a new blog post! ๐ I'm breaking down how to move your machine learning projects from Docker to Singularity for use in high-performance computing (HPC) environments. Check it out! #MLOps #Docker #Singularity #HPC #MachineLearning mostafaelaraby.com/tutorials/2025โฆ
๐๐/๐๐ is the game-changer in ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ . Automating code, data, and model workflows means faster deployment, fewer risks, and smarter AI. MLOps is the future. #MachineLearning #MLOps #AI #DataScience #DevOps #CICD #FutureOfAI
How to Implement #MLOps for #Industry40 aws.amazon.com/es/blogs/indusโฆ #DigitalTransformation #ArtificialIntelligence
Top #MLOps Books to Read! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode geni.us/Top-MLOps-Books
๐ Office Hours โ June 30, 6 PM WAT Learn how to build scalable ML infra using Google Cloud โ๏ธ Speaker: Miracle (GDE, GDG Ogbomoso) @Olabode_MO ๐ Register: bit.ly/june-office-hoโฆ #MLLagos #GoogleCloud #MLOps #AI
Integrating AI into business processes without a structured lifecycle is like racing on a track with no lanesโMLOps provides the discipline needed to transform raw potential into scalable, maintainable, and trustworthy outcomes. Microblog by @antgrasso #AI #MLOps #AIOps
๐ Meet NEO AI Agent โ an emerging AI that automates big chunks of the Machine Learning workflow. From data cleaning to model tuning, itโs like having a smart teammate that never sleeps. Curious how it works? Letโs break it down ๐งต #AI #MLOps
Automating #AI deployments just got easier. In this free 55m tutorial, you'll learn to build a complete #MLOps pipeline that handles everything form model training to production deploymentโautomatically. ๐ Get started now in #CiscoU. Free: cs.co/6010A8bpy
Top #MLOps Books!. #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode geni.us/Top-MLOps-Books
4 key ML training paradigms: - Transfer Learning - Fine-tuning - Multi-task Learning - Federated Learning Master these to level up your ML intuition #MachineLearning #AI #MLOps #METAA #MridulTiwari #KiteAI #SaWWorldTourDubai
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