In part 2 of our machine learning crash course, we'll make a recommendation engine in the browser.
Here's the code!
https://codepen.io/willrstern/pen/WzZqpd
We will make a recommendation engine example that fully runs in the browser with really good performance. Artificial intelligence and machine learning are awesome new frontiers in computing and data science. Web developers can use machine learning and artificial intelligence to solve problems in fun and unique ways.
Once we build a trained model using our neural network, we can quickly run thousands of possible options through our model to get ideal recommendations for our users.
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Also watch: "Tailwind CSS - why CSS utility classes save so much time"
https://www.youtube.com/watch?v=oU5ar0dmQEY
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Continue this lesson in the app
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