"Exploring Scalable and Efficient Deployment of Machine Learning Models: A ..."

Radhika V. Kulkarni et al. (2023)

> Home

Details and statistics

DOI: 10.1109/ICIT58056.2023.10225793

access: closed

type: Conference or Workshop Paper

metadata version: 2024-10-06

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icitjo/KulkarniTNSC23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icitjo/KulkarniTNSC23
Radhika V. Kulkarni, Arjun Thakur, Shravani Nalbalwar, Shubham Shah, Sankalp Chordia:
Exploring Scalable and Efficient Deployment of Machine Learning Models: A Comparative Analysis of Amazon SageMaker and Heroku. ICIT 2023: 746-751

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.