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bartongeorge.io | ||
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www.altexsoft.com
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| | | | | A dive into the machine learning pipeline on the production stage: the description of architecture, tools, and general flow of the model deployment. | |
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dominickm.com
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| | | | | In my previous post, we explored the first step of the ETL (Extract, Transform, Load) process-Extraction. Today, we move on to the heart of ETL: Transformation. Turns out your legacy data is really value in disguise. This step is all about turning raw, extracted data into a form that's clean, insightful, and ready for analysis [...] | |
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danielmangum.com
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| | | | | If you have dealt with any data platform in the last few years, you have likely heard about the movement from traditional ETL (Extract Transform Load) to ELT (Extract Load Transform). The name ELT is self-explanatory as the sequential order of tasks is switched such that loading comes before the transformation, but it takes a little more investigation to understand why the movement has taken place and how it is even possible. | |
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keymakr.com
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| | | Learn about AI training methods: supervised, unsupervised, deep learning, open source models, and their deployment on edge devices. | ||
