I want to do cloud machine learning using google’s CloudML offering.
Google cloud might interoperate well with a bunch of google products, such as tensorflow. I use that. Let’s see how it works.
Obviously this will work better if you commit to googly storage APIs etc.
Note: Google supports python 2.7 only - so be prepared to party like it’s 2010.
Seems to also support VMs?
There is the usual thicket of weird service names.
Basic workflow bits are
- cloud storage stores data
- dataflow supplies data
- model fitting done using cloudml
- control this from datalab
Also good to know: