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jaketae.github.io | ||
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sander.ai
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| | | | | This is an addendum to my post about typicality, where I try to quantify flawed intuitions about high-dimensional distributions. | |
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www.randomservices.org
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cyclostationary.blog
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| | | | | Our toolkit expands to include basic probability theory. | |
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blog.fastforwardlabs.com
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| | | By Chris and Melanie. The machine learning life cycle is more than data + model = API. We know there is a wealth of subtlety and finesse involved in data cleaning and feature engineering. In the same vein, there is more to model-building than feeding data in and reading off a prediction. ML model building requires thoughtfulness both in terms of which metric to optimize for a given problem, and how best to optimize your model for that metric! | ||
