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some kinda jackal posted:Ehh so I'm kind of backpedaling on my "no python" stance and I'm just hunting for a "just enough python to be useful in ML" type tutorial/resource that will let me competently follow/code along with random tutorials. It looks like Anaconda has a few good leads on practical tutorials or quick courses. Hey opposite-me. I absolutely love everything to do with data visualization, UI and UX but just have no interest in learning JavaScript. Closest I was tempted to on the darkside was Svelte because drat I love how simple and straightforward it is. But I just have a weird visceral reaction to JavaScript once I spend much time on it. Having learned python as my first and only language it must be the curly braces.
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Mar 21, 2024 01:48
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| # ¿ May 17, 2024 01:46 |
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Sorry for the double post but it's different topic altogether. What are people's experiences so far for using LLMs for things like named entity extraction and using it for wrangling unstructured data? We have a poo poo ton of legacy Word docx "forms" (ie literally just tables on a doc. No XML fields or whatever) and such which I've tested a few times and was pretty impressed with the results converting it to JSON using Mixtral without any context priming or anything. As a data analyst I'm often asked "hey can you analyze this folder of completely unstructured word docs?". I usually manage to avoid it if it isn't something that's easily converted to CSV, but I could see this being useful for this legacy poo poo. (Though I worry that it'll just perpetuate the business not giving a poo poo about APIs or even just spreadsheets for god's sake)
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Mar 21, 2024 23:48
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Any good examples of ML applications for data management / warehousing? For example, helping with identifying and standardizing column headers across multiple datasets or spreadsheets? I know all the rage right now is LLM and unstructured data but for BI analysts and data analysts who mainly work with messy but still structured data sources I'm trying to find applications in that space if such exist.
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Apr 19, 2024 19:36
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