Challenges in machine learning from model building to deployment at scale
"Presented by Anupama Joshi, Director, AI Engineering at Target. Companies are moving towards AI/Machine learning very fast. Data scientist are building models and training models. But challenges come when deploying models in production. How to maintain multiple models? Creating a common platfo...
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| Formato: | Vídeo online |
| Idioma: | Inglés |
| Publicado: |
[Seattle, Washington] :
Data Science Salon
2019.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822823906719 |
| Sumario: | "Presented by Anupama Joshi, Director, AI Engineering at Target. Companies are moving towards AI/Machine learning very fast. Data scientist are building models and training models. But challenges come when deploying models in production. How to maintain multiple models? Creating a common platform that allows model management and deployment easily and reliably is becoming a necessity for organizations to accelerate product development. In this talk, I will talk about the challenges faced and the solutions used to make this process easy."--Resource description page. |
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| Notas: | Title from resource description page (Safari, viewed October 28, 2020). Place of publication from title screen. |
| Descripción Física: | 1 online resource (1 streaming video file (18 min., 58 sec.)) : digital, sound, color |
