Azure Machine Learning
Bring AI to everyone with an end-to-end, scalable, trusted platform with experimentation and model management
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Pros
- Code and designer experience
- Large range of compute options
- Good range of built-in Python frameworks
- Flexible model hosting options
- Automated machine learning (AutoML)
- Support for ONNX
- ML.NET
- MLOps features
- Azure Synapse Pipelines integration
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Cons
- No serverless SKUs
Read our blog posts about Azure Machine Learning
Exposing legacy batch processing code online using Azure Durable Functions, API Management and Kubernetes
Discover how Kubernetes, Azure Durable Functions, and Azure API Management transform legacy batch processing code into a RESTful API.
NDC London Day 1
In this post, Ian describes some of the highlights from the NDC London conference
NDC London Day 3 Retrospective - from personal projects to developer comedy
Along with several of my endjin colleagues, I attended NDC London in January this year - here's a run through of the sessions I attended on Day 3 and my thoughts. This final day was a mixed bag, taking in talks on drumming and AKKA.net, as well as something a bit more close to home - a session from endjin's own Jess Panni and Carmel Eve on our recent project for OceanMind.