Stop Guessing, Start Winning: Intelligent Algorithm Tuning for Mere Mortals by Arvind Sundararajan
⚡Incremental Computation
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Algorithm precisely quantifies flow of information in complex networks
phys.org·1d
📡Information theory
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Information Shapes Koopman Representation
arxiv.org·2d
🧠Machine Learning
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The Complete Guide to Vector Databases for Machine Learning
machinelearningmastery.com·1d
🗂️Vector Databases
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mikeizbicki/HLearn
github.com·23h
🔗Monadic Parsing
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Scaling Laws for Reinforcement Learning
📊Learned Metrics
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The Little Book of Algorithms
🧮Kolmogorov Complexity
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Optimal Control Theoretic Neural Optimizer: From Backpropagation to Dynamic Programming
arxiv.org·1d
🧠Machine Learning
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AI researcher Andrej Karpathy says agentic AI is years away from matching industry hype
the-decoder.com·14h
🧠Intelligence Compression
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REAP: One-Shot Pruning for Trillion-Parameter Mixture-of-Experts Models
📼Tape Combinators
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Distributional Consistency Loss: Beyond Pointwise Data Terms in Inverse Problems
arxiv.org·1d
🧠Machine Learning
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Order from Chaos: Comparative Study of Ten Leading LLMs on Unstructured Data Categorization
arxiv.org·1d
🧠Machine Learning
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High-Dimensional BWDM: A Robust Nonparametric Clustering Validation Index for Large-Scale Data
arxiv.org·1d
🧠Machine Learning
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Machine Learning Meets Panel Data: What Practitioners Need to Know
towardsdatascience.com·1d
🧠Machine Learning
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Old school AI isn't dead: How we achieved a 12× speedup on an NP hard problem
🎨Graph Coloring
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