MLOps (Persian Wikipedia)

Analysis of information sources in references of the Wikipedia article "MLOps" in Persian language version.

refsWebsite

Global rank Persian rank

2web.archive.org

1^st place

2mckinsey.com

6,781^st place

6,953^rd place

2arxiv.org

69^th place

253^rd place

1towardsdatascience.com

8,920^th place

low place

1aitrends.com

low place

1gartner.com

4,365^th place

6,904^th place

1ieee.org

652^nd place

1,509^th place

1doi.org

2^nd place

1worldcat.org

5^th place

12^th place

1nips.cc

low place

1deloitte.com

2,714^th place

3,516^th place

1neu.ro

low place

1slides.com

low place

1dagshub.com

low place

1petewarden.com

low place

1techtarget.com

2,435^th place

2,252^nd place

1oreilly.com

4,347^th place

low place

1iottechexpo.com

low place

1iguazio.com

low place

1springer.com

274^th place

506^th place

aitrends.com

Talagala, Nisha. "Why MLOps (and not just ML) is your Business' New Competitive Frontier". AITrends. AITrends. Archived from the original on 19 January 2021. Retrieved 30 January 2018.

arxiv.org

Granlund, T., Kopponen, A., Stirbu, V., Myllyaho, L., & Mikkonen, T. ["MLOps challenges in multi-organization setup: Experiences from two real-world cases." https://arxiv.org/pdf/2103.08937]
Symeonidis, G., Nerantzis, E., Kazakis, A., & Papakostas, G. A ["Mlops-definitions, tools and challenges." https://arxiv.org/pdf/2201.00162]

dagshub.com

"Code to production-ready machine learning in 4 steps". DAGsHub Blog (به انگلیسی). 2021-02-03. Retrieved 2021-02-19.

deloitte.com

www2.deloitte.com

Sallomi, Paul; Lee, Paul. "Deloitte Technology, Media and Telecommunications Predictions 2018" (PDF). Deloitte. Deloitte. Retrieved 13 October 2017.

doi.org

Kreuzberger, Dominik; Kühl, Niklas; Hirschl, Sebastian (2023). "Machine Learning Operations (MLOps): Overview, Definition, and Architecture". IEEE Access. 11: 31866–31879. doi:10.1109/ACCESS.2023.3262138. ISSN 2169-3536.

gartner.com

Vashisth, Shubhangi; Brethenoux, Erick; Choudhary, Farhan; Hare, Jim. "Use Gartner's 3-Stage MLOps Framework to Successfully Operationalize Machine Learning Projects". Gartner. Gartner. Retrieved 30 October 2020.

ieee.org

ieeexplore.ieee.org

Kreuzberger, Dominik; Kühl, Niklas; Hirschl, Sebastian (2023). "Machine Learning Operations (MLOps): Overview, Definition, and Architecture". IEEE Access. 11: 31866–31879. doi:10.1109/ACCESS.2023.3262138. ISSN 2169-3536.

iguazio.com

Haviv, Yaron. "MLOps Challenges, Solutions and Future Trends". Iguazio. Iguazio. Retrieved 19 February 2020.

iottechexpo.com

Garda, Natalie. "IoT and Machine Learning: Why Collaboration is Key". IoT Tech Expo. Encore Media Group. Retrieved 12 October 2017.

mckinsey.com

Bughin, Jacques; Hazan, Eric; Ramaswamy, Sree; Chui, Michael; Allas, Tera; Dahlström, Peter; Henke, Nicolaus; Trench, Monica. "Artificial Intelligence The Next Digital Frontier?". McKinsey. McKinsey Global Institute. Retrieved 1 June 2017.
Manyika, James. "What's now and next in analytics, AI, and automation". McKinsey. McKinsey Global Institute. Retrieved 1 May 2017.

neu.ro

"2021 MLOps Platforms Vendor Analysis Report". Neu.ro. Archived from the original on 8 February 2023. Retrieved 10 August 2021.

nips.cc

papers.nips.cc

Sculley, D.; Holt, Gary; Golovin, Daniel; Davydov, Eugene; Phillips, Todd; Ebner, Dietmar; Chaudhary, Vinay; Young, Michael; Crespo, Jean-Francois; Dennison, Dan (7 December 2015). "Hidden Technical Debt in Machine Learning Systems" (PDF). NIPS Proceedings (2015). Retrieved 14 November 2017.

oreilly.com

Lorica, Ben. "How to train and deploy deep learning at scale". O'Reilly. O'Reilly. Retrieved 15 March 2018.

petewarden.com

Warden, Pete. "The Machine Learning Reproducibility Crisis". Pete Warden's Blog. Pete Warden. Retrieved 19 March 2018.

slides.com

Walsh, Nick. "The Rise of Quant-Oriented Devs & The Need for Standardized MLOps". Slides. Nick Walsh. Retrieved 1 January 2018.

springer.com

link.springer.com

Bodor, Anas, Meriem Hnida, and Daoudi Najima. ["MLOps: Overview of Current State and Future Directions." https://link.springer.com/chapter/10.1007/978-3-031-26852-6_14]

techtarget.com

searchdatamanagement.techtarget.com

Vaughan, Jack. "Machine learning algorithms meet data governance". SearchDataManagement. TechTarget. Retrieved 1 September 2017.

towardsdatascience.com

Breuel, Cristiano. "ML Ops: Machine Learning as an Engineering Discipline". Towards Data Science (به انگلیسی). Retrieved 6 July 2021.

web.archive.org

Talagala, Nisha. "Why MLOps (and not just ML) is your Business' New Competitive Frontier". AITrends. AITrends. Archived from the original on 19 January 2021. Retrieved 30 January 2018.
"2021 MLOps Platforms Vendor Analysis Report". Neu.ro. Archived from the original on 8 February 2023. Retrieved 10 August 2021.

worldcat.org

Kreuzberger, Dominik; Kühl, Niklas; Hirschl, Sebastian (2023). "Machine Learning Operations (MLOps): Overview, Definition, and Architecture". IEEE Access. 11: 31866–31879. doi:10.1109/ACCESS.2023.3262138. ISSN 2169-3536.