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 cgad.ski
When Numbers Are Bits: How Efficient Are Distributed Codes?
| | blog.alexalemi.com
blog.alexalemi.com Why KL?
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| | sebastianraschka.com
Model evaluation, model selection, and algorithm selection in machine learning
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| | I'm an LLM Research Engineer with over a decade of experience in artificial intelligence. My work bridges academia and industry, with roles including senior staff at an AI company and a statistics professor. My expertise lies in LLM research and the development of high-performance AI systems, with a deep focus on practical, code-driven implementations.
| | francisbach.com
Scaling laws of optimization - Machine Learning Research Blog
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| | [AI summary] This text discusses the scaling laws of optimization in machine learning, focusing on asymptotic expansions for both strongly convex and non-strongly convex cases. It covers the derivation of performance bounds using techniques like Laplace's method and the behavior of random minimizers. The text also explains the 'weird' behavior observed in certain plots, where non-strongly convex bounds become tight under specific conditions. The analysis connects theoretical results to practical considerations in optimization algorithms.
| | data36.com
Learn Python for Data Science - from scratch (20 articles)
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| Learn data science and machine learning in Python, pandas and scikit learn! This is a free series of 20 in-depth tutorial articles.