Jupyter Notebooks on cloud

During development and testing of the model, many in the machine learning community find using Jupyter Notebooks handy; they provide an integrated environment to run and view the result. They are very useful when you are collaborating or want to discuss code with a client. With LaTeX support, many researchers are even shifting to present their research papers on Jupyter, and hence it makes sense to have Jupyter Notebook environment on cloud.

You just share the link and the other person can view it and run it, without any of the hassle of OS environment and software dependencies. In this section we will cover the Jupyter Notebook environments made available by three of the technological giants: Google, Microsoft, and Amazon.

SageMaker

Amazon SageMaker is a fully managed machine learning service. You can use it easily and quickly build and train machine learning models. The trained models can then be directly deployed into a production-ready hosted...