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What is Overfitting? - Overfitting in Machine Learning Explained
aws.amazon.com·1h·
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Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
arxiv.org·1d
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Training and Tuning models is the new modeling
maxim.usindic.us·23h
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The Teacher as Gradient: What Backpropagation Taught Me About Learning
dev.to·2d·
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**Abstract:** This paper proposes a novel regularization technique, Adaptive Kernel Alignment (AKA), designed to mitigate overfitting in deep neural networks...
freederia.com·1d
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The Core Flaws of Modern AI based on Large Language Models (longpost)
bykozy.me·15h·
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SCPL: Enhancing Neural Network Training Throughput with Decoupled Local Losses and Model Parallelism
arxiv.org·1d
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The Emerging Science of Machine Learning Benchmarks
mlbenchmarks.org·1d·
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7 Advanced Feature Engineering Tricks Using LLM Embeddings
machinelearningmastery.com·13h
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Physics 1 – Attention can’t exactly simulate uniform linear motion
kindxiaoming.github.io·16h
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No Code AI and Machine Learning: Building Data Science Solutions
professional.mit.edu·4d·
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A Guide to the DataLoader Class and Abstractions in PyTorch
digitalocean.com·22h
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Postdoc in Milan on scalability for high-dimensional Bayesian learning
statmodeling.stat.columbia.edu·1d
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AI After Drug Development—Asterisk
asteriskmag.com·9h·
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A Practical Guide to Handling Skewed Data in Machine Learning
dev.to·1h·
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Training Design for Text-to-Image Models: Lessons from Ablations
huggingface.co·17h
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5 Time Series Foundation Models You Are Missing Out On
kdnuggets.com·14h
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**Title: Automated Anomaly Detection and Predictive Maintenance in Tissue Culture Media Analysis Using Hybrid Graph Neural Networks and Time-Series Forecasting**
freederia.com·1h
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Writing an LLM from scratch, part 32a -- Interventions: training a baseline model
gilesthomas.com·3h·
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Weight Initialization in Deep Learning: Xavier (Glorot), He (Kaiming), and Beyond
pub.towardsai.net
·1h
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