Best Practices on Recommendation Systems
azure
microsoft
machine-learning
python
deep-learning
kubernetes
data-science
artificial-intelligence
jupyter-notebook
tutorial
operationalization
ranking
rating
recommendation
recommendation-algorithm
recommendation-engine
recommendation-system
recommender
Обновлено 2024-11-01 16:20:38 +03:00
This reference implementation is based on the 30-days guardrails requirements as part of the GC Cloud Operationalization Framework, it offers an automated way to verify if the department has implemented the recommended controls provided by Treasury Board of Canada Secretariat (TBS) and display the results in a comprehensive format.
Обновлено 2024-01-03 00:31:40 +03:00
Best Practices, code samples, and documentation for Computer Vision.
microsoft
azure
machine-learning
python
deep-learning
data-science
computer-vision
kubernetes
artificial-intelligence
object-detection
tutorial
jupyter-notebook
convolutional-neural-networks
image-classification
image-processing
operationalization
similarity
Обновлено 2023-10-18 19:13:00 +03:00
Deploying Spark machine learning models to Azure
Обновлено 2023-03-28 19:46:55 +03:00
Quickstart template as a fork on TDSP (https://github.com/Azure/Azure-TDSP-ProjectTemplate), extending the template with a suggested structure for operationalization using Azure. Includes ARM templates as IaC for resource deployment, template build and release pipelines to enable model CI/CD, template code for working with Azure ML.
Обновлено 2023-03-28 19:45:00 +03:00
Operationalize R models at scale using Python via Azure ML SDK
Обновлено 2019-05-15 05:52:11 +03:00