The Modern Data Toolbox: Combining LLMs, ML, and Statistics for Greater Impact
pub.towardsai.net·1d
🧩Neurodiverse
Machine learning and creating of bots
reddit.com·6h·
Discuss: r/AskProgramming
🦀Rust
One More Machine Learning Article: When Computers Start to Think for Themselves
dev.to·4d·
Discuss: DEV
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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning
arxiv.org·1d
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Finding MLB Player Types with K-Means Clustering
runningonnumbers.com·1d·
Discuss: Hacker News
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Theoretical particle physicist tackles machine learning's black box
techxplore.com·7h
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Looking for feature absorption automatically
lesswrong.com·1d
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Classifier Language Models: Unifying Sparse Finetuning and Adaptive Tokenization for Specialized Classification Tasks
arxiv.org·20h
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Adaptive Hierarchical Clustering via Dynamic Affinity Propagation with Kernel Resonance
dev.to·1h·
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How to implement Random Forests in R
dev.to·1d·
Discuss: DEV
🦀Rust
From DeepSeek-MoE to R1: how expert routing and RL made the leap
chrishayduk.com·7h·
Discuss: Hacker News
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The best explanation of LLMs I've ever seen is in this new book.
threadreaderapp.com·1d
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Comparative study of machine learning and statistical methods for automatic identification and quantification in {\gamma}-ray spectrometry
arxiv.org·20h
🦀Rust
Wrote a Beginner-Friendly Linear Regression Tutorial (with Full Code)
medium.com·3d
🦀Rust
Learning to Select MCP Algorithms: From Traditional ML to Dual-Channel GAT-MLP
arxiv.org·1d
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Meet the early-adopter judges using AI
bespacific.com·21h
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AI Frontiers: Advances in Efficient, Robust, and Universal Machine Learning – Synthesizing Key Themes from August 2025 a
dev.to·2d·
Discuss: DEV
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How to Read AI Results (Even If You're Not an Expert)
hackernoon.com·18h
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Subsampling Factorization Machine Annealing
arxiv.org·20h
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A new way to test how well AI systems classify text
news.mit.edu·5h
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