There's a new TensorFlow specialization on Coursera: "Data and Deployment". Covers TF.js, TF Lite, TF Serving, and more. ML for the real worldhttps://www.coursera.org/specializations/tensorflow-data-and-deployment …
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Developing a notebook that trains a model is only a small fraction of any serious ML project. Data collection before that, and deployment after, are usually more difficult and time-consuming
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It’s the most challenging part that I’ve encountered since now. A lot of courses with fancy notebooks that work great, but no one with messy data or deployment in production. Hope that this specialization fills this gap.
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Data collection in a constrained industrial environment with multiple old systems, exotic formats, access restrictions, lack of documentation, lack of IT support... is something that most of the tutorials do not cover! Thankfully python is an excellent tool to cover that part.
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Been there!
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