I suggest it because that's exactly how I put my first ML model into production a couple of weeks ago. All my model does is update placeholder text to give suggestions to users based on previous actions. Took about 3 hours from start to finish: write training script, run it on cron, throw result in a cache, add API endpoint for accessing cached model, fetch model on frontend boot and store in state store, and integrate with search component.
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I suggest it because that's exactly how I put my first ML model into production a couple of weeks ago. All my model does is update placeholder text to give suggestions to users based on previous actions. Took about 3 hours from start to finish: write training script, run it on cron, throw result in a cache, add API endpoint for accessing cached model, fetch model on frontend boot and store in state store, and integrate with search component.
https://updates.moonlightwork.com/updated-skill-search-now-w...
This book is kind of dated, but it's what I used for inspiration and reference: https://www.amazon.com/gp/product/B00F8QDZWG/ref=oh_aui_d_de...
Programming Collective Intelligence is a fantastic book. I literally couldn't believe how many cool things it has throughout it.
It doesn't assume much prior knowledge and guides you gently through solving a bunch of data problems.
No affiliation, but its a great book regardless of it being a bit old (code is easy to update, good explanations are timeless).
This is a great idea for a simple application of ML. Thanks for the tip!
Great idea to get started, thanks!