關於 mlops ，我們在網路上蒐集到這些相關的討論、資訊與評價

#11. MLOps Taiwan | Facebook

MLOps Taiwan 是一個開放社群，提供一個場域讓關心MLOps、機器學習與資料科學有興趣的朋友互相交流與協作，希望能從中誕生更多開源貢獻的火花。

#12. MLOps | 機器學習作業- GIGABYTE 技嘉科技

機器學習作業是什麼？ 機器學習作業又稱MLOps，觀念是將傳統軟體開發作業(DevOps)和模型操作作業(ModelOps)所樹立的典範實務，延伸到人工智慧(AI)開發領域， ...

#13. MLOps: Continuous delivery and automation pipelines in ...

Practicing MLOps means that you advocate for automation and monitoring at all steps of ML system construction, including integration, testing, ...

#14. DataRobot MLOps｜智能數據｜偉康科技

DataRobot MLOps大規模AI營運之完整解決方案。維持且進而大規模運用以體現AI的商業價值，防止不準確或不可靠的模型預測，破壞客戶信任，讓企業曝露於未知風險， ...

#15. Practical Mlops: Operationalizing Machine Learning Models

書名：Practical Mlops: Operationalizing Machine Learning Models，語言：英文，ISBN：9781098103019，頁數：450，作者：Gift, Noah,Deza, Alfredo， ...

#16. MLOps Community: Home

The MLOps Community fills the swiftly growing need to share real-world Machine Learning Operations best practices from engineers in the field.

#17. MLOps: Machine learning operations | Algorithmia

Machine learning operations (MLOps) is the discipline of delivering machine learning (ML) models through repeatable and efficient workflows. Just like DevOps ...

#18. MLOps - Machine Learning Operations | Iguazio

MLOps is not about running notebooks in production environments and is not about placing an ML model behind an API end point. MLOps is about building an ...

#19. MLOps vs. DevOps: What is the Difference? - phData

Comparatively, MLOps is the process of automating and productionalizing machine learning applications and workflows. Both DevOps and MLOps aim ...

#20. MLOps Toys | A Curated List of Machine Learning Projects

Check out this curated list of the most useful MLOps tools, projects and more. Have something to add? Let us know!

#21. Dataiku DSS-機器學習協作平台(MLOps)

在資料素養(Data Literacy)、資料民主化(Data Democracy)的基礎上，MLOps讓資料分析團隊協同合作，縮短分析建模流程，快速進行各項預測分析實驗，落實AI價值，使決策最佳化 ...

#22. A Gentle Introduction to MLOps - Towards Data Science

Machine Resource Management — This step involves the planning of the resources for the ML model. Usually, ML models require heavy resources in ...

#23. 从小作坊到智能中枢: MLOps简介 - 知乎专栏

顾名思义，MLOps就是机器学习时代的DevOps。它的主要作用就是连接模型构建团队和业务，运维团队，建立起一个标准化的模型开发，部署与运维流程， ...

#24. Here's where MLOps is accelerating enterprise AI adoption

DevOps fueled the enterprise shift to the cloud, and companies are in a similar phase of trying out and accepting machine learning (ML) in ...

#25. MLOps with Dataiku

Dataiku facilitates good MLOps practices — seamlessly deploy, monitor, and manage machine learning projects in production.

#26. Why do you need MLOps? | DataRobot

MLOps allows organizations to automate and scale the deployment and management of trusted machine learning in production. See a Live Demo. Download the Data ...

#27. MLOps - Machine Learning Operations - Valohai

MLOps (machine learning operations) is a practice that aims to make developing and maintaining production machine learning seamless and efficient.

#28. LINE 資料工程團隊如何透過專業分工與MLOps 打造不同服務

MLOps · 加速ML 產品化與規模化，縮短從訓練到上線的時間 · 運用共同的平台，有利不同角色的協同合作 · 讓AI product 更容易維護，也降低為運成本.

#29. Practical MLOps - 第 G-32 頁 - Google 圖書結果

Kaizen versus KaizenML, Kaizen Versus KaizenML-Kaizen Versus KaizenML recommendations for implementing, Final Recommendations to Implement MLOps-MLOps ...

#30. What is Machine Learning Operations (MLOps) and ... - UbiOps

MLOps (Machine Learning Operations) is the set of practices, processes and principles that help us in deploying, running and maintaining ...

#31. Open MLOps: Open Source Production Machine Learning

Open MLOps is an open source repository of Terraform scripts and walk-through tutorials to set up a variety of machine learning tools in a Kubernetes cluster.

#32. MLOps 解決方案

首頁 · MLOps 解決方案. 排序: 日期. 日期; A-Z; Z-A; 停產商品. 最佳配置方案. 所有主系列. 所有主系列; GPU AI 開發軟體; GPU資源分配與管理系統(GDMS). 所有子系列.

#33. microsoft/MLOps: MLOps examples - GitHub

MLOps empowers data scientists and app developers to help bring ML models to production. MLOps enables you to track / version / audit / certify / re-use every ...

#34. MLOps Engineer - 華捷智能股份有限公司 - 104人力銀行

目前公司提供給客戶的產品是AIoT 與Cloud 的混合解決方案。我們期望MLOps Engineer 能規劃跟參與ML 基礎設施的建設、與AI Engineer 一起開發ML 應用、並且與DevOps ...

#35. Engineering MLOps: Rapidly build, test, and manage ...

Now that you are aware of the possibilities for crafting ML solutions, as the next step, it is critical to categorize your MLOps in line with your business ...

#36. 機器學習開發與部署管理作業(MLOps)協作基地

【活動公告】專題演講-開源AI工具及社群參與介紹. 【活動公告】機器學習應用運維工具Kubeflow工作坊. 【活動公告】雲端運算Kubernetes 工作坊.

#37. 物聯網終端節點開發的CI/CD 和MLOps 工作流程 - Arm ...

快速模型結合Python 腳本，為單元和整合測試提供這一環境。透過彈性的工具流程，應用程式可在CI/CD 或MLOps 環境中進行模擬驗證、驗證硬體正確性，並部署至 ...

#38. MLOps – “Why is it required?” and “What it is”? - KDnuggets

According to industry parlance, MLOps is DevOps for ML. While it is true to some extent, there are challenges typical to ML that need to be addressed by MLOps ...

#39. 什麼是MLOps文化？玉山靠這招讓工程師與營運端手牽手

打造金融科技不能只靠技術。玉山導入MLOps文化，讓機器學習不再是純粹的數據領域，而是能讓工程與營運攜手運作，讓團隊走得更快、更遠。

#40. A Guide to Enterprise MLOps - Domino Data Lab

Enterprise Machine Learning Operations (MLOps) allows organizations to scale data science by progressing through the data science lifecycle faster with ...

#41. Machine Learning Engineering for Production (MLOps)

The Machine Learning Engineering for Production (MLOps) Specialization covers how to conceptualize, build, and maintain integrated systems that continuously ...

#42. DevOps與MLOps | Gemini Open Cloud 雙子星雲端運算股份 ...

DevOps與MLOps. 企業導入人工智慧開發，往往面臨許多問題而成效不彰. 透過雙子星DevOps 與MLOps 方案，可以幫助企業快速建立與管理AI/ML GPU 運算環境.

#43. Kubernetes for MLOps：擴充機器學習、深度學習和AI | HPE 台灣

瞭解容器和Kubernetes 如何提供基本的建置區塊，協助組織開發可重複、可永續發展的高效流程來開發和部署MLOps 模型。 | HPE 台灣.

#44. What is MLOps ? And why it's important ? Part 1 - Picsellia

MLOps means Machine learning Operations. It is an engineering discipline that aims to unify Machine Learning systems development and deployment ...

#45. MLOps: Five Steps to Operationalize Machine Learning Models

MLOps (machine learning operations) is essential for successful AI and machine learning initiatives. Download our white paper for a step-by-step guide.

#46. 緯創也是股東，InfuseAI獲1.29億元A輪募資！要靠MLOps平台 ...

MLOps 平台雖仍處於早期階段，但已經可以看到Intel、Nvidia等大咖的投入，而來自台灣的InfuseAI也宣布獲得緯創領投，破億元的A輪募資。

#47. Introducing MLOps - 第 7 頁 - Google 圖書結果

The complexity of this environment, including the fact that machine learning models are made up of both code and data, is what makes MLOps a new and unique ...

#48. SAS MLOps 邁進分析營運化實戰講堂

解決模型生命週期議題，近日業界熱議導入「MLOps」流程，以基於DevOps 方法，提升機器學習技術從實驗環境到部署模型上線，同時專注對模型的持續監控與自動模型訓練， ...

#49. MLOps VS. AIOps: Important Differences You Need To Know

What Is Machine Learning Operations (MLOps)? What Is Artificial Intelligence Operations (AIOps)? Why Is AIOps Important? Who Needs AIOps? What Are Use Cases for ...

#50. MLOps and Systems Program - FourthBrain

Software analytical skills for DevOps/MLOps in production environments. ML model versioning and CI/CD pipelines with Kubernetes.

#51. PIE & AI【革新企業AI：以MLOps賦能企業提升商業價值】

PIE & AI【革新企業AI：以MLOps賦能企業提升商業價值】. 智慧化浪潮席捲全球，企業推動數位轉型、打造智慧化架構已經不再是仰賴提升技術能力就能完成的事情了。

#52. 組織內如何跨界溝通？玉山導入MLOps 文化，創造高效典範

打造金融科技不能只靠技術。玉山導入MLOps 文化，讓機器學習不再是純粹的數據領域，而是能讓工程與營運攜手運作，讓團隊走得更快、更遠。

#53. Who Needs MLOps: What Data Scientists Seek to Accomplish ...

Computer Science > Software Engineering. arXiv:2103.08942 (cs). [Submitted on 16 Mar 2021]. Title:Who Needs MLOps: What Data Scientists Seek to Accomplish ...

#54. MLOps World: Home

A Uniquely Interactive Experience2nd Annual MLOps World Conference on Machine Learning in Production. Join our community of over 9000 members as we learn ...

#55. 【食品連鎖】達美樂以MLOps加速資料科學產出成果 - CIO ...

Datatron提供平台，協助企業讓ML模型更容易進入正式營運環境，即所謂MLops。Datatron在這方面的競爭者，則包括了DataRobot與Google等公司。 Datatron是 ...

#56. MLOps - Fiddler AI

MLOps or Machine Learning Operations, the ML equivalent of DevOps, is a collection of ML lifecycle management approaches to streamline, automate, ...

#57. What is MLOps? | NVIDIA Blog

Machine learning operations, MLOps, are best practices for businesses to run AI successfully with help from an expanding smorgasbord of software ...

#58. Made With ML: Home

Made With ML. Applied ML · MLOps · Production. Join 30K+ developers in learning how to responsibly deliver value with ML. Subscribe View lessons.

#59. MLOps essentials: four pillars for Machine Learning ...

Reasons and principles behind the MLOps paradigm: how it relates to the AWS ecosystem and the AWS Well-Architected Framework.

#60. ClearML: MLOps for Data Scientists, ML Engineers, and DevOps

Manage your entire MLOps stack in one open-source tool. Experiment, orchestrate, deploy, and manage datasets, all in one place. Create a free account here.

#61. The Fundamentals of MLOps – The Enabler of Quality ...

MLOps is a set of practices that infuses Machine Learning, DevOps, and Data Engineering practices for a reliable and data-centric approach to Machine Learning ...

#62. MLOps and DevOps: Why Data Makes It Different - O'Reilly ...

Much has been written about struggles of deploying machine learning projects to production. As with many burgeoning fields and disciplines, ...

#63. InfuseAI完成A輪募資看好MLOps發展- DIGITIMES 智慧應用

InfuseAI表示，將會透過募得資金加速(Machine Learning Operations；MLOps)平台開發，以及擴大海外市場業務。 InfuseAI深耕MLOps領域，提及對於市場的重要 ...

#64. MLOps Explained - A Complete Introduction | Arrikto

The practices and technology of Machine Learning Operations (MLOps) offer a managed, scalable means to deploy and monitor machine learning models within ...

#65. MLOps - By MiaChang

Posts about MLOps written by miachang. ... 而因此大家常聽到的MLOps也是從DevOps當中學習到很多重要的經驗。 在一般軟體開發的過程當中，程式和 ...

#66. MLOps - Increase Machine Learning productivity - Kainos

Move from experimentation to production quickly and confidently with Machine Learning Operations (MLOps). Machine Learning (ML) represents a significant ...

#67. 什麼是機器學習MLOps？ - kdnuggets | IT人

MLOps 是ML的DevOps。資料科學家構建的機器學習（ML）模型需要與其他多個團隊緊密合作，例如業務、工程和運營。這意味著了在溝通、協作和協調方面的 ...

#68. Getting Machine Learning into Production: MLOps

He calls the category MLOps, or machine learning operations -- a play on the DevOps name and philosophy of creating, testing, and deploying code ...

#69. ModelOps-CIOs | MLOps-Data Scientists

ModelOps is a process to manage AI initiatives across the enterprise. MLOps is a process designed for the Data Scientist.

#70. AutoML 到MLOps，實現AI 快速落地線上研討會 - InfuseAI

本場研討會，我們將聚焦企業AI 應用，以AutoML 將AI 科技化繁為簡，協助企業快速完成AI 專案。當AI 專案在組織內發酵後，團隊更可透過MLOps 平台支援多專案、跨團隊的協作 ...

#71. MLOps landscape and industrial AI | Deloitte Insights

Enterprises are recognizing the need to pivot toward MLOps and Devops to integrate applied intelligence and achieve optimal organizational performance.

#72. What is MLOps? A Complete Hands-On Guide | CloudxLab Blog

MLOps stands for Machine Learning Ops. It is basically a combination of Machine Learning, Software Development, and Operations. It is a vast ...

#73. Why MLOps Is Critical To The Future Of Your Business - Forbes

MLOps, AI, machine learning, Google, business, data ... MLOps allows businesses to efficiently build and manage machine learning projects ...

#74. Was ist MLOps? | Alteryx

One of the main benefits of MLOps is that it enables data science, machine learning, statistical, and other model types to deliver business value quickly.

#75. Differences Between MLOps, ModelOps, AIOps, DataOps

MLOps (or ML Operations) refers to the process of managing your ML workflows. It's a subset of ModelOps that focuses on operationalizing ML ...

#76. MLOps Vs DevOps: A Comparative Analysis - Analytics India ...

MLOps is an offshoot of DevOps. In MLOps, the DevOps principles and workflows are applied to machine learning operations. It implements ...

#77. MLOps World: Machine Learning in Production @MLOpsWorld

2nd Annual MLOps World Conference 2021 Demo Days ➡️ June 8th - 10th Workshops ➡️ June 13th -15th Talks ➡️ June 16th - 17th ...

#78. Tools & Processes for MLOps - ML Conference

ML models deteriorate over time · MLOps as DevOps for Machine Learning · Components of an MLOps pipeline · Data pipeline and feature management.

#79. How DataOps, AIOps, and MLOps overlap with each other

MLOps, or Machine Learning Operations, helps simplify the management, logistics, and deployment of machine learning models between operations ...

#80. What is MLOps ? - Saagie

This is why the terms DataOps and MLOps, this time a contraction of Machine Learning and Operations, have recently appeared.

#81. MLOps Company Comet Raises $50M - insideHPC

Just as DevOps solutions addressed the needs of software development and IT operations teams, MLOps aspires to provide seamless capabilities ...

#82. Harnessing the power of machine learning with MLOps

MLOps is a relatively new discipline that draws on operations teams, data scientists, and software developers.

#83. Machine Learning Operations (MLOps) - Neal Analytics

MLOps is designed to enable data science and IT teams to rapidly develop, deploy, maintain, and scale out Machine Learning models. Here's how we use it.

#84. Towards MLOps: technical capabilities of a machine learning ...

This extra quality contributes to the step from DevOps to MLOps. 3. Continuous Training positioned in the ML pipeline.

#85. MLOps Platform Challenges and Best Practices for ML Models

MLOps is an ML engineering practice that aims to unite Machin Learning system development and ML system operation. MLOps helps automation and ...

#86. Red Hat Shares ― Artificial intelligence & machine learning

MLOps : What's the difference? According to CIO Insight, AIOps and MLOps "are likely the two fastest-growing operational practices among major ...

#87. Introducing MLOps: Essential Practices - DAITAN Blog

As stated, MLOps seeks to provide a process for the development of ML systems that are robust and maintainable. This is achieved by ensuring ...

#88. MLOps Single-Engineer Group | GitLab

Can GitLab offer a Model Registry? What is MLOps? A Primer. Recommended Resources; Versioning an ML Model; Architectural Patterns. Pipeline Runner; Model ...

#89. Why AIOps and MLOps Aren't the Same Thing - Rackspace

MLOps, on the other hand, focuses on creating an automated pipeline for bringing machine learning models into production.

#90. What Is MLOps? - The New Stack

MLOps is a set of practices, processes, and tools designed to improve collaborations between the teams who manage the ML lifecycle. Similarly to ...

#91. What is MLOps? | Paperspace Blog

Machine Learning Operations (MLOps) is a set of practices that provide determinism, scalability, agility, and governance in the model development and ...

#92. Machine Learning Ops (MLOps): In-depth Guide - AIMultiple

MLOps is a set of practices to standardize and streamline the process of construction and deployment of machine learning systems. It covers the entire lifecycle ...

#93. MLOps: What Is It and Why Should You Use? | TEKsystems

Machine-learning operations (MLOps) apply DevOps to machine-learning workloads, helping transform your business at scale.

#94. DataOps、MLOps 和AIOps，你要的是哪個Ops？ - 今日熱點

如何在DataOps、MLOps 和AIOps 之間進行選擇？大數據團隊應該采取哪種Ops？ 兩年前，由.

#95. Mlops | A Beginners Guide to Machine Learning Operations

Let's discuss about MLops. Also, we will try to find how to setup the model into production and learn to maintain and monitor it.