關於 ml ops ，我們在網路上蒐集到這些相關的討論、資訊與評價

#11. 未來趨勢：談DataOps, MLOps 和AIOps - Meet創業小聚

有了高品質的使用數據，MLOps 才有被實現的可能。MLOps 也就是Machine Learning + DEV+OPS 三個名詞的合併。MLOps 讓資料科學家建構的模型能夠跨團隊運作 ...

#12. MLOps - HackMD

與提供MLOps參考工具不同，MLOps platform旨在集中管理Machine Learning專案的資料、模型流程，做到自動化資料模型測試、佈署、監控等等，並可以結合額外的CI/CD工具整合ML ...

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

DevOps vs MLOps · Monitor the infrastructure where we deploy — for load, usage, storage, and health. This tells us about the environment where the ML model is ...

#14. 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.

#15. 「MLOps」找工作職缺－2023年2月 - 104人力銀行

2023/2/14－59 個工作機會｜MLOps Engineer【華捷智能股份有限公司】、RD20669 MLOps Engineer(AIoT)【華碩電腦股份有限公司】、【寵物科技新創實習】RD Intern ...

#16. 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。

#17. GokuMohandas/mlops-course - GitHub

A project-based course on the foundations of MLOps to responsibly develop, deploy and maintain ML. - GitHub - GokuMohandas/mlops-course: A project-based ...

#18. 17 Top MLOps Tools You Need to Know - DataCamp

Discover top MLOps tools for experiment tracking, model metadata management, workflow orchestration, data and pipeline versioning, model deployment and ...

#19. 善用MLOps與AutoML打通企業AI任督二脈 - 電子時報

MLOps 意指涵蓋AI模型訓練、模型封裝、模型驗證、模型部署、模型監控等一系列完整機器學習工作流程，顧名思義就是ML(機器學習)、Dev(軟體開發)、Ops(IT ...

#20. HPE GreenLake for ML Ops & AI | HPE

HPE GreenLake for ML Ops makes it easier and faster to get started with AI and machine learning projects, while providing the security and control that an ...

#21. MLOps - Wikipedia

MLOps or ML Ops is a set of practices that aims to deploy and maintain machine learning models in production reliably and efficiently.

#22. MLOps協同平台加速模型建構與部署 - 網管人

MLOps 協同平台加速模型建構與部署. 2022-09-02. 洪羿漣. 隨著人工智慧／機器學習（AI/ML）日漸普及，IT市場上開始出現資料驅動的應用程式（Data-Driven ...

#23. MLOps 大小事： 讓機器學習模型效益最大化 - 活動通

數據實戰技術工作坊」將著重在硬核的技術，一起談談技術發展的應用與經驗，讓我們一起升級數據技能。 MLOps (Machine Learning Operations) 是一種應用機器學習模型的軟體 ...

#24. Introduction to ML Ops - T-DAB.AI

A controlled connect between code and data needs to be created, and this is where Machine Learning Operations (or ML Ops) were born.

#25. ML Ops | Operationalize Your Models Faster - RapidMiner

ML Ops · Smooth Handoff from Design to Production. Business value doesn't compound until your models are in production. · True Business Impact, Not Just Accuracy.

#26. 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 ...

#27. EDM] 使用新的MLOps 解決方案簡化機器學習模型的構建和操作

推進ML 進行數位化轉型. 使用Informatica ModelServe 簡化MLOps. ModelServe是Informatica 的雲原生MLOps 解決方案，可簡化ML 模型部署。它通過簡化和 ...

#28. CTIMES- MATLAB與Simulink整合自動化機器學習與DevOps

在機器學習的運行（machine learning operations，或ML Ops），開發的規劃、設計、建構、測試活動與運行時的部署、操作及監管活動是以持續的回饋迴圈連結 ...

#29. Machine Learning Operations - Run:ai

Machine learning operations (MLOps) is the practice of creating new machine learning (ML) and deep learning (DL) models and running them through a ...

#30. MLOps Is a Mess But That's to be Expected - Mihail Eric

MLOps refers to the set of practices and tools to deploy and reliably maintain machine learning systems in production. In short, MLOps is the medium by which ...

#31. What is MLOps? - Databricks

MLOps stands for Machine Learning Operations. MLOps is a core function of Machine Learning engineering, focused on streamlining the process of taking ...

#32. ML Ops - Amarello

MLOps : a Machine Learning engineering culture and practice that aims to unify the development and operation of ML systems (Dev & Ops).

#33. MLOps: Enabling Operationalization of ML at Scale - Iguazio

Machine learning operations (MLOps) is the practice of efficiently developing, testing, deploying, and maintaining machine learning (ML) ...

#34. 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 ...

#35. ML Ops: Operationalizing Data Science [Book] - O'Reilly Media

ML Ops : Operationalizing Data Science. by David Sweenor, Steven Hillion, Dan Rope, Dev Kannabiran, Thomas Hill, Michael O'Connell. Released April 2020.

#36. MLOps — When Training The Best Model Is Not Enough - Unit8

What exactly is MLOps? The definition from Wikipedia describes it as a “Practice for collaboration and communication between data scientists and operation ...

#37. Machine Learning Engineering for Production (MLOps) 專項課程

Machine Learning Engineering for Production (MLOps) 專項課程 ... Design an ML production system end-to-end: project scoping, data needs, modeling strategies ...

#38. MLOps: Machine Learning as an Engineering Discipline | Built In

MLOps is a set of practices that combines Machine Learning, DevOps and data engineering. MLOps aims to deploy and maintain ML systems in ...

#39. Ultimate Guide to MLOps: Process, Maturity Path & Best ...

MLOps is a way to deploy ML systems and standardize processes to improve outcomes for AI initiatives. AIOps is an approach to IT system automation that uses ML ...

#40. MLOps Guide

MLOps Guide introducing concepts and application using DVC, CML, IBM Watson Machine Learning, IBM Watson OpenScale, Terraform and Cookiecutter.

#41. MLOps with Dataiku

Dataiku supports good MLOps practices so you can seamlessly deploy, monitor, and manage machine learning projects in production.

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

Gemini MLOps 方案特色. Step 1：資料準備(Data Preparing). 訂定模型之預測目標，再根據 ...

#43. The Leader in Model Performance Management for MLOps

Machine learning operations (MLOps) is a blend of cultural practices involving data and its usage, data science, and tools that help ML teams rapidly iterate ...

#44. PrimeHub MLOps Deploy 小型AI模型佈署授權數量10個(一年)

商品介紹. PrimeHub MLOps Deploy 授權提供用戶更多AI / ML 的模型佈署數量，讓用戶透過平台不需模型封裝流程即 ...

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

Explore the key differences between MLOps and DevOps and why they matter to your business with this comprehensive blog post.

#46. How to Become an MLOps Engineer in 2023? - ProjectPro

The demand for MLOps engineers in the industry. Difference between an MLOps engineer, Data Scientist, and DevOps engineer. Skills Required to ...

#47. MLOps的概念、原则和实践 - 张浩在路上

MLOps （Machine Learning Operations）是一组用于数据科学家和运维人员之间协作和沟通的最佳实践。应用这些实践可以提高质量，简化管理流程，并在大 ...

#48. Top 10 MLOps Tools to Optimize & Manage Machine Learning ...

What is MLOps? MLOps is short for Machine learning + Operations. It is a new discipline requiring a mix of best practices in data science, ...

#49. 什麼是MLOps文化？玉山靠這招讓工程師與營運端手牽手

MLOps 問世：來，數據工程和營運手牽手. 約在2018年，微軟首度提出MLOps概念：. 即Machine Learning（機器學習）＋DEV（開發）＋OPS（營運 ...

#50. AI & ML| DevOps I ML Ops | RTS - Resolve Tech Solutions

Utilize RTS' ML Ops to provide DevOps-like agility to the Machine Learning lifecycle and to overcome the barriers in deploying AI and ML across the ...

#51. MLOps - Machine Learning Operations - Valohai

MLOps (machine learning operations), sometimes also written as ML Ops, is a practice that aims to make developing and maintaining production machine ...

#52. 適用於資料中心的機器學習作業(MLOps) 生態系 - NVIDIA

使用NVIDIA 的機器學習作業(MLOps) 加速運算解決方案以及合作夥伴生態系，來簡化人工智慧模型部署。

#53. What is MLOps and why is it important? - Crystalloids

MLOps is a practice for collaboration and communication between data scientists and operations professionals to help manage the production ML ...

#54. [2205.02302] Machine Learning Operations (MLOps) - arXiv

However, it is highly challenging to automate and operationalize ML products and thus many ML endeavors fail to deliver on their expectations.

#55. Using MLOps to Deploy Machine Learning Pipelines

Machine learning operations (MLOps) is a process that makes it possible to quickly deploy and easily sustain machine learning pipelines.

#56. What is MLOps? - Ubuntu

MLOps is the short term for machine learning operations and it represents a set of practices that aim to simplify workflow processes and ...

#57. What is MLOps? An Introduction to the World of Machine ...

What is MLOps? So what is Machine Learning Operations? This paragraph from Pratik Sharma summarizes it best: “MLOps is an approach to managing ...

#58. MLops: The Key to Pushing AI into the Mainstream | VentureBeat

MLops is still an emerging field, so it may be tempting to write it off as just another techy buzzword, but its track-record proves that ...

#59. MLOps: Methods and tools for machine learning

MLOps is short for 'Machine Learning Operations', and if you think the name closely resembles DevOps, then you certainly aren't wrong.

#60. Machine Learning Operations – MLOps - Cnvrg.io

Deliver a streamlined ML pipeline, minimizing friction between data science and engineering teams from research to production · The Top Solution for MLOps and ...

#61. MLOps技术分享 - 知乎

如何成为MLOps工程师. cover. 过去几年，数据技术相关职位的需求大幅增加，机器学习和人工智能相关岗位的招聘人数以每年74%的速度增长。来自不同背景的人都试图进入 ...

#62. What is MLOps? - Seldon

The term “MLOps” (a compound of Machine Learning and Operations) refers to the practice of deploying, managing and monitoring machine ...

#63. Machine learning for production - introducing D ONE's MLOps ...

Our goal is to (1) provide you with a MLOps training tool and (2) give you a head start when building your production machine learning (“ML”) pipeline for your ...

#64. MLOps - FourthBrain

MLOps. Helping you become the Machine Learning Operations leader of your next production AI project. Start Your Application. Download Syllabus ...

#65. MLOps：可擴充人工智慧工作流程的推展途徑

雖然DevOps 是經典的設計實務，但無法提供人工智慧系統所需的靈活性。瞭解您該如何使用MLOps 方法，用於需要擴充的AI 專案與工作流程。

#66. What is MLOps? | New Relic

MLOps, which is short for machine learning operations, is a set of practices to increase the quality, simplify the management process, ...

#67. 博客來-Introducing Mlops: How to Scale Machine Learning in ...

書名：Introducing Mlops: How to Scale Machine Learning in the Enterprise，語言：英文，ISBN：9781492083290，頁數：150，作者：Stenac, CL,Dreyfus-Schmidt, ...

#68. MLOps - DataRobot

DataRobot MLOps is helping to increase AI value by automating the deployment, optimization, and governance of machine learning applications.

#69. The Complete 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 ...

#70. MLOps：它對人工智能有何重要？ - Motherapp

MLOps 合併了機器學習(Machine Learning)、數據工程(Data Engineering) 及DevOps (Development和Operations的合稱) 三大作業，優化配置和維護機器學習系統 ...

#71. For AI to Succeed, MLOps Needs a Bridge to DevOps

DevOps Came First. It's MLOps That Has to Fit into the DevOps World · Machine Learning Models Are Still Fundamentally Software · The Future.

#72. Machine Learning Operations – MLOps - AFRY

Artificial intelligence (AI) and machine learning (ML) are key factors for business, helping companies to plan and personalise their products ...

#73. List of Top MLOps Tools 2023 - TrustRadius

MLOps tools help organizations apply DevOps practices to the process of creating and using AI and machine learning (ML) models. These tools are typically ...

#74. MLOps: What You Need To Know - Forbes

MLOps is a relatively new concept in the AI (Artificial Intelligence) world and stands for “machine learning operations.” Its about how to ...

#75. Top MLOps Courses Online - Updated [February 2023] | Udemy

MLOps relates to DevelopmentIT & Software · Featured course · MLOps students also learn · All MLOps courses · Not sure? All courses have a 30-day money-back ...

#76. MLOps - tools, best practices, and case studies - Chip Huyen

MLOps is a set of tools and best practices for bringing machine learning into production. MLOps best practices. Below are a few must-read/watch for anyone ...

#77. What is MLOps? - Benefits, how it works, and DevOps vs. MLOps

MLops is a set of practices and governance that helps ml engineers to manage AI & machine learning model lifecycle management solutions.

#78. What is MLOps - Tutorialspoint

MLOps is a collection of tools and strategies aimed at making the life of data scientists and machine learning practitioners easier. It acts as ...

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

Easily Develop, Orchestrate, and Automate ML workflows at scale. ClearML's open-source MLOps platform is your end-to-end solution. Start free!

#80. MLOps: the Most Important Piece in the Enterprise AI Puzzle

ML Ops empowers data scientists and app developers to help bring the machine learning models to production. ML Ops enables you to track, version ...

#81. ML Ops and the Promise of Machine Learning at Scale

An illustration with the word "ML Ops" in blue 3-D box lettering. The good news: Enterprise interest in artificial intelligence, fueled by ...

#82. What is MLOps (Machine Learning Operations)? - Techopedia

MLOps was developed with the knowledge that not all data scientists and ML engineers have experience with programming languages and IT ...

#83. Model Deployment & ML Ops - Minitab

Our Model & ML Ops Solution. Minitab's machine learning ops and model development solutions can help your business start, complete, or finish your machine ...

#84. Machine Learning Ops - Reddit

r/mlops: The landing zone for anything MLOps - beginners and pros welcome. Vendors behave!

#85. Machine Learning Engineering for Production (MLOps ...

Machine Learning Engineering for Production (MLOps) Specialization ... Design an ML production system end-to-end: project scoping, ...

#86. Best Resources for Learning MLOps - Kaggle

1. Machine Learning Ops with GitHub · 2. ML Ops: Machine Learning Operations · 3. MLOps Community · 4. Coursera · 5. Introducing MLOps: How To Scale Machine ...

#87. What Is MLOps and How Is It Changing the Way Businesses ...

Machine Learning Operations - or MLOps in short - is a set of practices for delivering ML products with real-time collaboration between data ...

#88. 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 ...

#89. MLOPs - NxtGen Datacenter and Cloud Technologies

Our MLOps eco-system is a Collaborative Cloud native with a unified UI to manage all data science in one place to build and deploy Machine Learning Models ...

#90. MLOps is not a platform, it's a human process assisted ... - Silo AI

Machine learning operations, MLOps, is the organizational practice for operationalizing AI and accelerating ML development in a sustainable way.

#91. An Introduction to Machine Learning Operations (MLOps)

MLOps, or DevOps for machine learning, is the practice of combining software development (Dev) and operations (Ops) to streamline the process of ...

#92. What is MLOps? | Paperspace Blog

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

#93. The Impact of MLOps on the Business Transformation

In other words, MLOps is a collection of tools and principles that support the whole ML project life cycle: scoping (define projects), data (label and ...

#94. Kensho - Manager - ML Ops - Lever

ML Ops is a set of practices that combines Machine Learning and DevOps, which aims to deploy and maintain ML systems in production reliably and efficiently.

#95. The Rise of MLOps - Bitstrapped

Implement MLOps as a set of best practices and architectures. This ML strategy continuously deploys machine learning models into production.

#96. What is MLOps ? - Saagie

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