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19 karmajoined il y a 9 ans

comments

il y a 6 joursdiscuss

It can also be lost over time! I finished high school (which had analog clocks in all the classrooms) a long time ago, and have always used digital clocks in my adult life.

I recently purchased an analog watch on a lark, and it took me a week or two of use before I could read it quickly again!

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il y a 6 moisdiscuss

In addition to what others say said, computational complexity, is a big reason. Gaussian Process and Kernelized SVM have fit complexities of O(n^2) to O(n^3) (where n is the # of samples, also using optimal solutions and not approximations). While Neural Nets and Tree Ensembles are O(n).

I think datasets with lots of samples tend to be very common (such as training on huge text datasets like LLMs do). In my travels most datasets for projects tend to be on the larger side (10k+ samples).

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il y a 7 moisdiscuss

Maybe it's improved since I last used it (seems to still be an issue per a 1 minute google search), but OpenSCAD doesn't really have easy support for dimensioned drawings.

While it was very handy for my programmer brain to create a few 3D printed things, when I wanted to create a drawing for something I'd make myself, adding dimensions seemed very unwieldly. I used a different CAD program for those projects (maybe Autodesk Inventor?).

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il y a 9 moisdiscuss

Some cool ones do support CLAP, such as:

    - Surge XT - open-source synthesizer with literally 10k presets built in: https://surge-synthesizer.github.io/
    - TX16Wx - free for non-pro use soundfont sampler: https://www.tx16wx.com/

While they may not do everything, to me as a novice, those two do cover a lot of ground for free.

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il y a 3 ansdiscuss

American Statistical Association also released a statement on pvalues:

https://www.tandfonline.com/doi/epdf/10.1080/00031305.2016.1...

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il y a 3 ansdiscuss

Very cool! DuckDB also has a WASM version for flexible in-browser analytics/visualization: https://github.com/duckdb/duckdb-wasm

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il y a 4 ansdiscuss

DuckDB is awesome! I find it the easiest way to ingest data from various sources then query it into a form I can do analytics on.

The datasets I work on are a bit too big for pandas, but spark is way overkill for them. DuckDB lets me efficiently work on them using only a single computer.