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blog.omega-prime.co.uk | ||
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dustintran.com
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| | | | | The elastic net [3] provides a regularized objective function that meets a compromise between the two extremes of Lasso [2] and ridge regression. It takes in... | |
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www.jeremykun.com
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| | | | | Machine learning is broadly split into two camps, statistical learning and non-statistical learning. The latter we've started to get a good picture of on this blog; we approached Perceptrons, decision trees, and neural networks from a non-statistical perspective. And generally "statistical" learning is just that, a perspective. Data is phrased in terms of independent and dependent variables, and statistical techniques are leveraged against the data. In this post we'll focus on the simplest example of thi... | |
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fa.bianp.net
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| | | | | Most proofs in optimization consist in using inequalities for a particular function class in some creative way. This is a cheatsheet with inequalities that I use most often. It considers class of functions that are convex, strongly convex and $L$-smooth. MathJax.Hub.Config({ extensions: ["tex2jax.js"], jax: ["input/TeX ... | |
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billwadge.com
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| | | Art is what you can get away with.-Marshall McLuhan [All the images in this post were produced with generative AI - Midjourney,DALL-E 2, Stable diffusion.] I'd like to give you my thoughts on the recent amazing developments in AI (Artificial Intelligence). I'm a retired (emeritus) professor of computer science at the University of Victoria, Canada.... | ||
