#mlops 搜尋結果
𝐇𝐨𝐰’𝐬 𝐲𝐨𝐮𝐫 𝐭𝐞𝐚𝐦 𝐛𝐚𝐥𝐚𝐧𝐜𝐢𝐧𝐠 𝐀𝐈𝐎𝐩𝐬 𝐚𝐧𝐝 𝐌𝐋𝐎𝐩𝐬 𝐭𝐨𝐝𝐚𝐲? #𝐀𝐈𝐎𝐩𝐬 𝐤𝐞𝐞𝐩𝐬 𝐭𝐡𝐞𝐦 𝐚𝐥𝐢𝐯𝐞. #𝐌𝐋𝐎𝐩𝐬 𝐤𝐞𝐞𝐩𝐬 𝐭𝐡𝐞𝐦 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠.
⚙️ Build ML pipelines with #Azure CLI + YAML! 📁 Modular components 🔄 Reusable workflows 🧠 Train, evaluate & deploy with ease Start here 👉msft.it/6014svH90 #MachineLearning #MLOps
⚙️ Made With ML (MLOps): Definitive guide to production-grade ML. 👉 github.com/GokuMohandas/M… #MLOps #AI #MachineLearning
[Excellent Book] #MachineLearning Design Patterns — Solutions to Common Challenges in Data Preparation, Model-Building, and #MLOps: amzn.to/2W7YSy0 —————— #AI #ML #DataScience #DeepLearning #DataScientists
![KirkDBorne's tweet image. [Excellent Book] #MachineLearning Design Patterns — Solutions to Common Challenges in Data Preparation, Model-Building, and #MLOps: amzn.to/2W7YSy0
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#AI #ML #DataScience #DeepLearning #DataScientists](https://pbs.twimg.com/media/G2EYBkJXYAA7FFR.jpg)
𑁍𓏸𓈒𓂃みなさん、おはるぅです𓂃𓈒𓏸𑁍 昨日もたくさんの方に来て頂いて 心がほっこりでした(*´˘`*)𓈒𓂂 いつも幸せを『ありがとう』 連休も2日目ですが、お仕事や学校の方無理せずふぁいと٩(ˊᗜˋ*)و⚑*ﾟ お休みの方は楽しんで下さいねෆ˚* #初リプ・初絡み大歓迎 #AIイラスト
#mM stands for moMOL!!!!!!! I CANT BREATHE!!!!!!!!!!! ❤️❤️❤️❤️❤️❤️ #ItsOkayToNotBeOkayEP11 #ItsOkayToNotBeOkay
Is Terraform worth learning? Is it useful even for small projects? Here’s my take. #DevOps #MLOps #AI
🧩 Build ML pipelines with #Azure ML SDK v2! 🖼️ Prep data, train CNN, score results ⚡ Fast, reusable, and production-ready 📦 Fashion MNIST + Keras + YAML + Python Start here 👉msft.it/6011svHHz #MachineLearning #MLOps
Do you ever wonder how Luna would react to ponies who could lucid dream? (◕ っ ◕✿) #mlp #mlpart #sodapop_sprays #mlpluna
I built llm-use-agentic, an autonomous LLM orchestrator that discovers models, adapts routing, and optimizes API usage. It’s production-ready with monitoring, self-healing, and intelligent agent coordination. Check it out: github.com/llm-use/llm-us… #AI #LLM #MLOps #opensource
10/22（水）にMLOps勉強会10/22（水）を開催します！ ご登壇は @Getty708 『ML Pipeline の開発と運用を OpenTelemetry で繋ぐ！』、 @po3rin 『LangfuseのTrace書き込み失敗から学ぶLLMOpsを支える技術』です！ ぜひご参加ください！ mlops.connpass.com/event/369838/ #mlops #mlopsコミュニティ
物体検出、画像解析、MLOpsのさわりを解説。連休のスキマ時間に最新キーワードをチェック✅ #物体検出 #画像解析 #mlops innovationhub.cac.co.jp/n/n2f3129b6ff1…
1/ Most people can train a model. But few can run it reliably in the real world. That’s where MLOps comes in — 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
⚙️ Made With ML (MLOps): Definitive guide to production-grade ML. 👉 github.com/GokuMohandas/M… #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
🔥 AIOps está en alta demanda en el mercado, pero ¿por qué? codigofacilito.com/codigofest?utm… Prepárate para aprender de Antonio Feregrino Staff MLOps Engineer en Simply Business #CódigoFest #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-obs…
𝐇𝐨𝐰’𝐬 𝐲𝐨𝐮𝐫 𝐭𝐞𝐚𝐦 𝐛𝐚𝐥𝐚𝐧𝐜𝐢𝐧𝐠 𝐀𝐈𝐎𝐩𝐬 𝐚𝐧𝐝 𝐌𝐋𝐎𝐩𝐬 𝐭𝐨𝐝𝐚𝐲? #𝐀𝐈𝐎𝐩𝐬 𝐤𝐞𝐞𝐩𝐬 𝐭𝐡𝐞𝐦 𝐚𝐥𝐢𝐯𝐞. #𝐌𝐋𝐎𝐩𝐬 𝐤𝐞𝐞𝐩𝐬 𝐭𝐡𝐞𝐦 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠.
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. 👉 buff.ly/SUTFMqc #CloudNativeNow #AI #MLOps #CloudNative #DevOps
5️⃣Final Thoughts Finishing this book + the FastAPI lessons feels like a turning point. I’m not just learning to build models, I’m learning to build them responsibly. Can’t wait to apply everything I’ve learned. #MachineLearning #AI #MLOps #FastAPI #ChipHuyen #100DaysOfML
[Excellent Book] #MachineLearning Design Patterns — Solutions to Common Challenges in Data Preparation, Model-Building, and #MLOps: amzn.to/2W7YSy0 —————— #AI #ML #DataScience #DeepLearning #DataScientists
𝐇𝐨𝐰’𝐬 𝐲𝐨𝐮𝐫 𝐭𝐞𝐚𝐦 𝐛𝐚𝐥𝐚𝐧𝐜𝐢𝐧𝐠 𝐀𝐈𝐎𝐩𝐬 𝐚𝐧𝐝 𝐌𝐋𝐎𝐩𝐬 𝐭𝐨𝐝𝐚𝐲? #𝐀𝐈𝐎𝐩𝐬 𝐤𝐞𝐞𝐩𝐬 𝐭𝐡𝐞𝐦 𝐚𝐥𝐢𝐯𝐞. #𝐌𝐋𝐎𝐩𝐬 𝐤𝐞𝐞𝐩𝐬 𝐭𝐡𝐞𝐦 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠.
AI is reshaping everything, but solid DevOps practices are now crucial to deploying these powerful tools responsibly and effectively. #AI #DevOps #MLOps
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?si…
🚀 Office Hours – June 30, 6 PM WAT Learn how to build scalable ML infra using Google Cloud ☁️ Speaker: Miracle (GDE, GDG Ogbomoso) @Olabode_MO 🔗 Register: bit.ly/june-office-ho… #MLLagos #GoogleCloud #MLOps #AI
How to Implement #MLOps for #Industry40 aws.amazon.com/es/blogs/indus… #DigitalTransformation #ArtificialIntelligence
𝐂𝐈/𝐂𝐃 is the game-changer in 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠. 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
🚀 Meet NEO AI Agent — an emerging AI that automates big chunks of the Machine Learning workflow. From data cleaning to model tuning, it’s like having a smart teammate that never sleeps. Curious how it works? Let’s break it down 🧵 #AI #MLOps
Integrating AI into business processes without a structured lifecycle is like racing on a track with no lanes—MLOps provides the discipline needed to transform raw potential into scalable, maintainable, and trustworthy outcomes. Microblog by @antgrasso #AI #MLOps #AIOps
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
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 deployment—automatically. 🔗 Get started now in #CiscoU. Free: cs.co/6010A8bpy
#MLOps— Gentle introduction. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/ML-Ops-Intro
MLOps is the process of operationalizing machine learning models using automation in different domains. Here are the four key phases of MLOps. Source @Deloitte Link bit.ly/3H96g4P RT @antgrasso #MLOps
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
The #MLOPs Basics Flow. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/MLOps-Basics-F…
The #MLOPs And Machine Learning RoadMap! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/MLOpsRoadmap
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