Copernicus versus the scientific method
logarithmichistory.wordpress.com·1d
📊Data Science
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A Beginner’s Guide to Channel Attribution Modeling in Marketing
open.forem.com·5h·
Discuss: DEV
🔬scikit-learn
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Machine Learning Fundamentals: Everything I Wish I Knew When I Started
dev.to·2d·
Discuss: DEV
🤖Machine learning
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Mastering Feature Selection Techniques with R
dev.to·5h·
Discuss: DEV
🔬scikit-learn
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Thought Branches: Interpreting LLM Reasoning Requires Resampling
arxiv.org·1d
🤖Machine learning
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What Are Auto-regressive Models? A Deep Dive and Typical Use Cases
blog.pangeanic.com·1d
🧠OpenAI
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Enhancing Diffusion-based Restoration Models via Difficulty-Adaptive Reinforcement Learning with IQA Reward
arxiv.org·7h
🔍Grad-CAM
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Post-training methods for language models
developers.redhat.com·5h
🧠OpenAI
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The Work of AI, Ourselves
oliverbatemandoesthework.substack.com·7h·
Discuss: Substack
🧠OpenAI
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How to use the matches! Macro Pattern Matching
dev.to·3h·
Discuss: DEV
📊Altair
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EARS-UDE: Evaluating Auditory Response in Sensory Overload with Universal Differential Equations
arxiv.org·1d
🧠OpenAI
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High Resolution Seismic Waveform Generation using Denoising Diffusion
arxiv.org·7h
🔢NumPy
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Probabilistic Robustness for Free? Revisiting Training via a Benchmark
arxiv.org·7h
🔍Grad-CAM
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Multi-Sensor Distributed Hypothesis Testing in the Low-Power Regime
arxiv.org·7h
🔢NumPy
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I’m excited to share my job market paper for the 2025-2026 market!
threadreaderapp.com·11h
📊Data Science
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Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes
arxiv.org·7h
🤖Machine learning
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