From the course: Deploying Scalable Machine Learning for Data Science

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Next steps

From the course: Deploying Scalable Machine Learning for Data Science

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Next steps

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- [Narrator] Thank you for watching this course on scaling machine learning models. Here are some options for next steps. There are a number of software resources available that are useful for scaling machine learning resources. I'd suggest consulting the Python Flask documentation or the R Plumber documentation depending on which platform you prefer to use. These are both useful when deploying machine learning models using an API. Docker's a key resource for scaling machine learning models as well as many other applications. You can download Docker from docker.com, and documentation is available there as well. Similarly, Kubernetes is a available for download, and there's really good documentation on Kubernetes at the Kubernetes website. Now, in addition to those software resources, there are a number of courses available in the course catalog that are relevant. I would suggest looking for courses on DevOps, including DevOps and Data Science. also machine learning courses, and there…

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