raab

5 ms·

1. 1.▲
   by raab 9y ago

   SageMaker has three parts. Hosted notebooks, similar to case #2. API access to ML algorithms which are "optimized" and deployment by providing API access to trained models.
2. 2.▲
   by raab 9y ago

   https://github.com/Raab70/Raab70.github.io/commit/d69addbf12...
3. 3.▲
   by raab 9y ago

   Cool! I had never heard of that. Starred...
4. 4.▲
   by raab 9y ago

   I would agree, most data scientists are not required to deploy their own models, probably only for those in startups or small companies. I also introduce how Docker can be used for development. I think it is a big enough trend in CS that an
5. 5.▲
   Docker for data scientists: Introduction and use cases(unsupervisedpandas.com)

   151 points by raab 9y ago|55 comments