
This article is written for managers who are starting with data science and clarifies what phases one goes through from data collection to deployment in production. It also touches upon the different tools…
This article is written for managers who are starting with data science and clarifies what phases one goes through from data collection to deployment in production. It also touches upon the different tools…
MLOps (Machine Learning Operations) is the set of practices, processes and principles that help us in deploying, running and maintaining machine learning algorithms at scale in live production environments.
In a previous article I explained how to deploy a single data science deployment onto UbiOps that could be used for object recognition. However, in the real world, it is…
Review of explainability techniques. Do they suffice our needs? In the past 6 months, I have spoken to representatives of nearly a hundred companies and had insightful conversations about the…
Are you or any of your colleagues Data Scientists? Have you been involved in bringing data science models in production? Have you seen that the actual machine learning code is only a tiny fraction of the whole solution?
If you work with any type of Machine Learning nowadays and you’ve ever thought about putting the AI you’re working on into production, this article is for you. Whether you’re…
The last five years have seen a tremendous increase in data science efforts. Not surprisingly, as not only the field has advanced a lot in the areas of Machine Learning and Artificial Intelligence, but also more and more companies …