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Understanding machine learning models
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How Google uses logic in machine learning
One of the goals I have set for myself is to be consistant at writing. This means I will have to frequently publish the articles. For the first few posts, I did manual deployments from my laptop. Now, I have automated the process. As soon as I merge a post to the master branch, a deployment script will publish the website. I have achieved this using Github Actions .
Setting up the automated deployment involved writing a workflow
. A workflow is nothing but a sequence of jobs, each involving a sequence of steps. I kept my workflow simple. It consists of a single job with a few steps.
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package.json contains deployment script. This script is a combination of two commands; gatsby build --prefix-paths
and gh-pages -d public
. In the last step ...
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Next, I have to build the source code. For that I need NodeJS setup in the machine where the job is running. The runner is simply a blank server at the time of creation (of course it has t...
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The next step is pretty obvious. It is to install the library that the application needs using the command npm ci
. If you are wondering why I did not use npm install
, this artic...
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The first step, of course, is to checkout the master branch. This is done using the actions/checkout action, which is a pretty standard action everyone uses.
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