Learning by doing: Experiences from the Wikidata Indonesia Internship Program
diff.wikimedia.org·7h
🏛Digital humanities
Getting Started with Competitive Battling - Smogon University
smogon.com·2h
🔲Cellular Automata
Efficiency of a Sparse Hash Table
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Discuss: Lobsters, Hacker News, r/programming
🗃️Database Storage
Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series
arxiv.org·1d
📈Time Series
Yandex Releases Massive Dataset to Help AI Understand What You Really Like
hackernoon.com·1d
🎯Recommendation Metrics
Using Clouds for too long might have made you incompetent
loudwhisper.me·7h·
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📦Container Security
Choosing a Database Schema for Polymorphic Data (2024)
dolthub.com·3d·
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🧮Algebraic Datatypes
Bagging vs Boosting in Machine Learning: What You Need to Know
dev.to·1d·
Discuss: DEV
🧠Machine Learning
LLMs and Algorithmic Trading
architect.co·1d·
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🧠Machine Learning
Generative AI: A Self-Study Roadmap
kdnuggets.com·1d
🗺️Competency Maps
Machine Learning Fundamentals: data augmentation
dev.to·1d·
Discuss: DEV
⚡Incremental Computation
Programmatic SEO: The #1 Growth Hack
guptadeepak.com·4d·
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🔃Feed Algorithms
From ID-based to ID-free: Rethinking ID Effectiveness in Multimodal Collaborative Filtering Recommendation
arxiv.org·3d
🎯Recommendation Metrics
KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities
arxiv.org·1d
📊Multi-vector RAG
Mastering Data Science: Why Python Leads the Way
dev.to·13h·
Discuss: DEV
🧪Data science
Unpythonic: Supercharge your Python with parts of Lisp and Haskell
github.com·1h·
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🧠Lisp Dialects
AI That Reads PDFs Like a Topper 😮 | Built with Algolia + OpenAI
dev.to·1d·
Discuss: DEV
📜Manuscript Digitization
Iceberg, the Right Idea – The Wrong Spec – Part 2 of 2: The Spec
database-doctor.com·3d·
Discuss: Hacker News
🔧KAITAI
Using AMD MI300X for High-Throughput, Low-Cost LLM Inference
herdora.com·3h·
Discuss: Hacker News
⚡Performance Mythology
Data-Star.dev – v1 and Beyond
data-star.dev·2d·
Discuss: Hacker News
🏺ZIP Archaeology