Crash Course to Crack Machine Learning Interview – Part 2: Linear Regression
analyticsvidhya.com·11h
🤖Machine Learning
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An introduction to program synthesis (Part II) - Automatically generating features for machine learning
🤖Machine Learning
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Essential Chunking Techniques for Building Better LLM Applications
machinelearningmastery.com·1d
📈Optimization
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A Quantized VAE-MLP Botnet Detection Model: A Systematic Evaluation of Quantization-Aware Training and Post-Training Quantization Strategies
arxiv.org·1d
🤖Machine Learning
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Beyond Standard LLMs
🤖Machine Learning
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SSPO: Subsentence-level Policy Optimization
arxiv.org·18h
📈Optimization
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**Hyperlocal Weather Anomaly Forecasting via Spatiotemporal Graph Neural Networks & Ensemble Kalman Filtering**
🤖Machine Learning
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Generative Hints
arxiv.org·1d
🖼Image Processing
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RefusalBench: Generative Evaluation of Selective Refusal in Grounded LanguageModels
🤖Machine Learning
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The compute rethink: Scaling AI where data lives, at the edge
venturebeat.com·1d
🤖AI
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Twirlator: A Pipeline for Analyzing Subgroup Symmetry Effects in Quantum Machine Learning Ansatzes
arxiv.org·18h
📐Linear Algebra
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Study on Supply Chain Finance Decision-Making Model and Enterprise Economic Performance Prediction Based on Deep Reinforcement Learning
arxiv.org·3d
📈Optimization
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All You Need to Know About Chunking in Agentic RAG
pub.towardsai.net·11h
👁️Computer Vision
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Automated Terahertz Spectral Signature Reconstruction for Non-Destructive Material Authentication
📡Signal Processing
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Active Noise Control Method Using Time Domain Neural Networks for Path Decoupling
arxiv.org·1d
📡Signal Processing
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Building Trust in Virtual Immunohistochemistry: Automated Assessment of Image Quality
arxiv.org·18h
🖼Image Processing
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Don’t Just Normalize, Batch Normalize! A Guide to Stable Neural Networks
pub.towardsai.net·4d
🤖Machine Learning
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