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@iusztinpaul shared a post, 1 year, 7 months ago
Machine Learning Consultant

This Is What You Need to Know to Serve a Machine Learning Model

As machine learning engineers or data scientists, we all got to the point where we built our beautiful models with wonderful test results to end up using them just in a PowerPoint presentation. The most standard way of interacting with a model is to use it in an offline setup, where we have some kind of dataset to play with. This is ok for experimentation and to build your initial model. But, the next step would be to put our precious model out in the wild so people can use it. This is what model serving is all about. It represents the mechanism of deploying the model so other people can interact with it.

Model Serving
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@iusztinpaul shared a post, 1 year, 9 months ago
Machine Learning Consultant

Is It Hard to Deploy a Machine Learning Model?

If we managed to containerize our model we can use different cloud vendors that can easily host our application. Amazon AWS Sagemaker, Google Cloud AI Platform, Azure Machine Learning Studio, and IBM Watson Machine Learning are the most common examples.Also, we can build a similar system, on-premise..

Model Serving