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 (Global: low place; Persian: low place)

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 (Global: 69^th place; Persian: 253^rd place)

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 (Global: low place; Persian: low place)

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

deloitte.com (Global: 2,714^th place; Persian: 3,516^th place)

www2.deloitte.com

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

doi.org (Global: 2^nd place; Persian: 2^nd place)

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 (Global: 4,365^th place; Persian: 6,904^th place)

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 (Global: 652^nd place; Persian: 1,509^th place)

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 (Global: low place; Persian: low place)

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

iottechexpo.com (Global: low place; Persian: low place)

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

mckinsey.com (Global: 6,781^st place; Persian: 6,953^rd place)

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 (Global: low place; Persian: low place)

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

nips.cc (Global: low place; Persian: low place)

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 (Global: 4,347^th place; Persian: low place)

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

petewarden.com (Global: low place; Persian: low place)

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

slides.com (Global: low place; Persian: low place)

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

springer.com (Global: 274^th place; Persian: 506^th place)

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 (Global: 2,435^th place; Persian: 2,252^nd place)

searchdatamanagement.techtarget.com

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

towardsdatascience.com (Global: 8,920^th place; Persian: low place)

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

web.archive.org (Global: 1^st place; Persian: 1^st place)

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 (Global: 5^th place; Persian: 12^th place)

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.

MLOps (Persian Wikipedia)

aitrends.com (Global: low place; Persian: low place)

arxiv.org (Global: 69th place; Persian: 253rd place)

dagshub.com (Global: low place; Persian: low place)

deloitte.com (Global: 2,714th place; Persian: 3,516th place)

www2.deloitte.com

doi.org (Global: 2nd place; Persian: 2nd place)

gartner.com (Global: 4,365th place; Persian: 6,904th place)

ieee.org (Global: 652nd place; Persian: 1,509th place)

ieeexplore.ieee.org

iguazio.com (Global: low place; Persian: low place)

iottechexpo.com (Global: low place; Persian: low place)

mckinsey.com (Global: 6,781st place; Persian: 6,953rd place)

neu.ro (Global: low place; Persian: low place)

nips.cc (Global: low place; Persian: low place)

papers.nips.cc

oreilly.com (Global: 4,347th place; Persian: low place)

petewarden.com (Global: low place; Persian: low place)

slides.com (Global: low place; Persian: low place)

springer.com (Global: 274th place; Persian: 506th place)

link.springer.com

techtarget.com (Global: 2,435th place; Persian: 2,252nd place)

searchdatamanagement.techtarget.com

towardsdatascience.com (Global: 8,920th place; Persian: low place)

web.archive.org (Global: 1st place; Persian: 1st place)

worldcat.org (Global: 5th place; Persian: 12th place)

arxiv.org (Global: 69^th place; Persian: 253^rd place)

deloitte.com (Global: 2,714^th place; Persian: 3,516^th place)

doi.org (Global: 2^nd place; Persian: 2^nd place)

gartner.com (Global: 4,365^th place; Persian: 6,904^th place)

ieee.org (Global: 652^nd place; Persian: 1,509^th place)

mckinsey.com (Global: 6,781^st place; Persian: 6,953^rd place)

oreilly.com (Global: 4,347^th place; Persian: low place)

springer.com (Global: 274^th place; Persian: 506^th place)

techtarget.com (Global: 2,435^th place; Persian: 2,252^nd place)

towardsdatascience.com (Global: 8,920^th place; Persian: low place)

web.archive.org (Global: 1^st place; Persian: 1^st place)

worldcat.org (Global: 5^th place; Persian: 12^th place)