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Machine Learning with Julia on AWS SageMaker (datachef.co)
33 points by shahinism on Aug 4, 2021 | hide | past | favorite | 4 comments


Tangential but the gif macro syntax is really, really slick

   # build an animated gif by pushing new points to the plot, saving every 10th frame
   @gif for i=1:1500
       step!(attractor)
       push!(plt, attractor.x, attractor.y, attractor.z)
   end every 5


Julia has figured out exactly the right way to meld macros and ordinary language syntax. It’s really a thing of beauty.


“SageMaker” is looking a lot like a rebranding of “Jupyter Notebook.”


Google's "Colaboratory" is a similar use of Jupyter Notebook, but I think it's worth pointing out that Colaboratory has some added GCP-launching integrations and Sagemaker has some ML training integrations with AWS.

Jupyter is open source and I wouldn't fault these companies using a familiar and quality interface for interfacing with their backend products.




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