Understanding Support Vector Machines SVM: Origins, Working, and Real-World Applications
dev.to·6h·
Discuss: DEV
🗺️UMAP
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Investors are buying into AI that can’t spell. Smart money is buying these stocks.
marketwatch.com·2h
🔢Embeddings
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Your Transformer is Secretly an EOT Solver
elonlit.com·3d·
Discuss: Hacker News
🗺️UMAP
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LLM-Centric RAG with Multi-Granular Indexing and Confidence Constraints
arxiv.org·10h
📦Pseudobulk
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Automated Personalized Chemotherapy Optimization via Multi-Modal Data Fusion & Reinforcement Learning
dev.to·18h·
Discuss: DEV
📄FASTQ
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AI Summarization Optimization
schneier.com·3h
🔢Embeddings
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My First Multi-GPU Kernel: Writing All-to-All for AMD MI300X
gau-nernst.github.io·14h·
Discuss: Hacker News
🔲Zarr
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When AI Trading Agents Compete: Adverse Selection of Meta-Orders by Reinforcement Learning-Based Market Making
arxiv.org·10h
🔗Markov Chains
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Shape-Shifting AI: Making Models That Adapt to Data
dev.to·1d·
Discuss: DEV
🗺️Manifold Learning
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From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers
towardsdatascience.com·1d
🗂️AnnData
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My ML Learning Journey: From Confusion to Building a Working Model
kaggle.com·3d·
Discuss: DEV
📊Empirical Bayes
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Why Multimodal AI Broke the Data Pipeline — And How Daft Is Beating Ray and Spark to Fix It
hackernoon.com·10h
🔲Zarr
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AI Inference: The Silent Budget Killer (and How to Stop It)
dev.to·1d·
Discuss: DEV
📊Empirical Bayes
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A Three-Stage Bayesian Transfer Learning Framework to Improve Predictions in Data-Scarce Domains
arxiv.org·3d
📊Empirical Bayes
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Unlocking LLMs: The Self-Steering Revolution
dev.to·1d·
Discuss: DEV
🔲Zarr
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Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning
arxiv.org·3d
🗺️Manifold Learning
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Synthesized Generative Modeling via Graph-Constrained Semantic Embedding
dev.to·23h·
Discuss: DEV
🔢Embeddings
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