The Modern Data Toolbox: Combining LLMs, ML, and Statistics for Greater Impact
pub.towardsai.net·16h
🤖AI
One More Machine Learning Article: When Computers Start to Think for Themselves
dev.to·3d·
Discuss: DEV
🤖AI
Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning
arxiv.org·1d
🤖AI
Finding MLB Player Types with K-Means Clustering
runningonnumbers.com·20h·
Discuss: Hacker News
🤖AI
Looking for feature absorption automatically
lesswrong.com·14h
🤖AI
Classifier Language Models: Unifying Sparse Finetuning and Adaptive Tokenization for Specialized Classification Tasks
arxiv.org·6h
🤖AI
How to implement Random Forests in R
dev.to·16h·
Discuss: DEV
🤖AI
The best explanation of LLMs I've ever seen is in this new book.
threadreaderapp.com·1d
🤖AI
Comparative study of machine learning and statistical methods for automatic identification and quantification in {\gamma}-ray spectrometry
arxiv.org·6h
🤖AI
Wrote a Beginner-Friendly Linear Regression Tutorial (with Full Code)
medium.com·2d
🤖AI
Learning to Select MCP Algorithms: From Traditional ML to Dual-Channel GAT-MLP
arxiv.org·1d
🤖AI
Few-Shot Anomaly Detection in Manufacturing via Bayesian Hypernetwork Optimization
dev.to·23h·
Discuss: DEV
🤖AI
Meet the early-adopter judges using AI
bespacific.com·8h
🤖AI
How to Read AI Results (Even If You're Not an Expert)
hackernoon.com·5h
🤖AI
AI Frontiers: Advances in Efficient, Robust, and Universal Machine Learning – Synthesizing Key Themes from August 2025 a
dev.to·1d·
Discuss: DEV
🤖AI
Subsampling Factorization Machine Annealing
arxiv.org·6h
🤖AI
Estimating from No Data: Deriving a Continuous Score from Categories
towardsdatascience.com·1d
🤖AI
MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder
arxiv.org·6h
🤖AI
Writing an LLM from scratch, part 17 – the feed-forward network
gilesthomas.com·12h·
Discuss: Hacker News
🤖AI
Judging with Confidence: Meet PGRM, the Promptable Reward Model
databricks.com·19h
🤖AI