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brandinho.github.io | ||
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alexanderganderson.github.io
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| | | | | Current Research Interests | |
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blog.ephorie.de
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| | | | | [AI summary] The article explains the concept of Gradient Descent in machine learning, its mathematical foundation, and provides an animated visualization of 3D functions using R. | |
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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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rhubbarb.wordpress.com
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| | | My previous post was written with the help of a few very useful tools: LaTeX mathematical typesetting Gummi LaTeX editor Python programming language PyX Python / LaTeX graphics package my own PyPyX wrapper around PyX LaTeX2WP script for easy conversion from LaTeX to WordPress HTML | ||