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blog.ml.cmu.edu | ||
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jsteinhardt.wordpress.com
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| | | | | [Highlights for the busy: de-bunking standard "Bayes is optimal" arguments; frequentist Solomonoff induction; and a description of the online learning framework.] Short summary. This essay makes many points, each of which I think is worth reading, but if you are only going to understand one point I think it should be "Myth 5? below, which... | |
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www.jeremykun.com
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| | | | | In our last primer we saw the Fourier series, which flushed out the notion that a periodic function can be represented as an infinite series of sines and cosines. While this is fine and dandy, and quite a powerful tool, it does not suffice for the real world. In the real world, very little is truly periodic, especially since human measurements can only record a finite period of time. Even things we wish to explore on this blog are hardly periodic (for instance, image analysis). | |
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francisbach.com
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ml-ops.org
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| | | Machine Learning Operations | ||
