3 Greedy Algorithms for Decision Trees, Explained with Examples
towardsdatascience.com·3h
📈Machine Learning
LLMs are Bayesian, in Expectation, not in Realization
researchgate.net·7h·
Discuss: Hacker News
📈Machine Learning
Incremental query updating in adhesive categories
topos.institute·2d
👩‍💻Programming
Advent of Code: 500 Stars
elly.town·1d
👩‍💻Programming
Marketplace V2 is all you need: A training algorithm on par with backprop that needs only forward pass
fangpenlin.com·15h
📈Machine Learning
Every Implementable Algorithm Is Extensionally a Lookup Table
table.dk.workers.dev·2d·
Discuss: Hacker News
📈Machine Learning
Fast and Scalable Mixed Precision Euclidean Distance Calculations Using GPU Tensor Cores
arxiv.org·1d
📈Machine Learning
Applied Mathematics: The Hidden Engine Powering Tomorrow’s Breakthroughs
pub.towardsai.net·1d
👩‍💻Programming
50 Machine Learning MCQs with Answers
dev.to·1d·
Discuss: DEV
📈Machine Learning
Optimizing AI Inference with Edge Computing
edgee.cloud·6h·
Discuss: Hacker News
🤖AI
Asymmetric Linearizable Local Reads
muratbuffalo.blogspot.com·4h·
Discuss: Hacker News
🗄️Databases
Struggling with Data Structures & Algorithms? We Built a Solution
dev.to·21h·
Discuss: DEV
📈Machine Learning
Use Bayes rule to mechanically solve probability riddles
cloud.disroot.org·1d·
Discuss: Hacker News
📈Machine Learning
Aperiodic Tilings V: the Refinable Frontier
chiark.greenend.org.uk·22h·
Discuss: Lobsters, Hacker News
👩‍💻Programming
PyData Berlin 2025: Introduction to Stochastic Variational Inference with NumPyro
juanitorduz.github.io·1d
📈Machine Learning
Improving GEMM Kernel Auto-Tuning Efficiency on NVIDIA GPUs with Heuristics and CUTLASS 4.2
developer.nvidia.com·22h
📈Machine Learning
How a 20-Year-Old Algorithm Can Help Us Understand Transformer Embeddings
ai.stanford.edu·2d·
Discuss: r/LLM
📈Machine Learning
Decompose, Don't Analogize: First-Principles Programming
hkalyanpur.bearblog.dev·22h
👩‍💻Programming
AI-Driven Dynamic Slotting Optimization for Enhanced Warehouse Throughput in E-Commerce Fulfillment
dev.to·2d·
Discuss: DEV
📈Machine Learning
3 Questions: On biology and medicine’s “data revolution”
news.mit.edu·37m
📈Machine Learning