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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Seattle, Washington] : Data Science Salon, 2019.
Temas:
Machine learning.
Consumers' preferences.
Information technology > Management.
Electronic commerce.
Apprentissage automatique.
Consommateurs > Préférences.
Technologie de l'information > Gestion.
Commerce électronique.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
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
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.))

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