Hello geeks, I think that building a model using either machine learning or deep learning isn’t enough. Deploying the model for production is a crucial step that needs attention from beginners like me. Are there any recommended courses or books?
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Beginners need to understand the mechanics of models first and foremost!
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Yes, this is very important.
Unfortunately, this is extremely complicated because there are so many different possible platforms and user cases.
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@BALK I’m currently going through Chip Huyen’s Designing Machine Learning Systems [Book] and am finding it pretty good. While it doesn’t discuss so much exact specifics for, as TMosh said there are many possible platforms out there, it does go through a lot of the ‘practical’ considerations around design and deployment-- Issues that are less thoroughly (if at all) covered in academic ML/DL classes (ex. how clean is your data ?), that might otherwise not be apparent as issues for a new comer, but are very important in production.
*P.s. I believe Chip is one of Prof. Ng’s former students and taught a course on this subject at Stanford.
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If you are speaking to the operations side, you can search MLOps and do some reading.
The extent you need to know this probably depends on the company/job, imo. When assessing whether or not to learn something, I’ll skim job postings and see which technologies/platforms employers are seeking.
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