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I'm new to azure machine learning and following the exercise from MS (https://learn.microsoft.com/en-us/training/modules/use-automated-machine-learning/6-exercise). when it comes to deploying the model, I saw there are 4 options. Wondering what's the difference between these 4 and what is the best practice to select the correct method?
Thanks,
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I am trying to add data to ConvertKit Form with the help of their API but Unable to to that, here is the link of their API https://developers.convertkit.com/#add-subscriber-to-a-form
I am very new to API and node.js, so I am unable to crack their documentation
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I have a client who wants to block Linux users from accessing the website since they account for 1/5 of traffic and are clearly bots.
Has anyone successfully done this? Not too sure where to begin.
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I'm trying to understand the MSFT form of Microservices (Docker) called Service Fabric and am confused about when to use Service Fabric or Function apps
What guidance should I follow when choosing?
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I am currently working sailsjs and how can i deploy it on azure?
There was a blog post a couple of months ago which gives the steps needed to deploy to azure:
https://azure.microsoft.com/en-gb/documentation/articles/app-service-web-nodejs-sails/
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Which is the reliable performance benchmark of OWIN Katana and Node.js?
I am really interested in everything that has been tested and tried with Katana.
Haney did some research on that, you may find it useful: