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blog.omega-prime.co.uk
| | 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...
| | 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...
| | 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 ...
| | uncommongenders.home.blog
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| [AI summary] The post discusses the creation of a moodboard featuring soft, floral elements and gender-neutral themes, with a focus on aesthetic design and personal expression.