klotz: reddit*

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  1. My TL;DR guide for self hosting on a Pi.

    Get Pi
    Install DietPi
    Install Docker, Docker-Compose
    browse the LinuxServer.io fleet
    create docker-compose file with needed 'stuff' (letsencrypt, NextCloud, etc)

    A pi4 4gb should run NextCloud plus other "stuff" without an issue (Mine has a bunch of *arr's). As other's mentioned, storage might be an issue. My Pi's all point back to a NAS for file storage/serving.
  2. BrisquelyBrusque writes "I think what he's getting at is, we'll never have an algorithm that is

    1. fast, distributed, easily deployed
    2. interpretable
    3. able to converge quickly for most problems
    4. robust to noise, outliers, multicollinearity, class imbalance, and the curse of dimensionality
    5. optimized for any combination of numeric variables and factors
    6. self-supervised (no need for extensive parameter tuning)
    7. capable of probability estimates as well as predictions
    8. able to issue predictions for multiple targets
    9. comfortable with structured, unstructured data (text, 2D, 3D, audio, tabular)
    10. open-source

    Besides, a recent analysis by Amazon Web Services found that 50 to 95% of all ML applications in an organization are based on traditional ML (random forests, regression models). That's why these application papers matter -- we're learning to make progress in certain areas where traditional ML fails."
    2020-12-31 Tags: , , , , , by klotz

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