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📈 Statistical Learning
Regression, Classification, Model Selection, Cross-Validation
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6314
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Selecting
Hyperparameters
for Tree-Boosting
arxiv.org
·
3d
∂
Automatic Differentiation
Quantization-Aware
Distillation
ternarysearch.blogspot.com
·
1d
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Automatic Differentiation
Accelerate your discovery by
parallelizing
experiments
magellink.com
·
19h
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Data Science
LLMs Are Prediction
Machines
kaelandt.github.io
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17h
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Large Language Models
Stop
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Your Data: How to Automate
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With AI
hackernoon.com
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5d
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Data Science
Show HN:
StatCalc
– Statistical Calculator with Clear
Visualizations
echomoltinsson.github.io
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What is
Overfitting
? -
Overfitting
in Machine Learning
Explained
aws.amazon.com
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Show HN: Model Training Memory
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czheo.github.io
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PyTorch
The Rise of Local Speech
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oatmealapp.com
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Large Language Models
Spectral Signatures of
Gradual
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lesswrong.com
·
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Time Series Analysis
Hypernetworks
: Neural Networks for
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blog.sturdystatistics.com
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Human-like Search for Modern
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anvitra.ai
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Transformers
ML-LIB
: Machine Learning Library Proposed For The Linux Kernel
phoronix.com
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Large Language Models
Continual
learning and the post
monolith
AI era
baseten.co
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Deep Learning
Complex
Heterodynes
Explained
tomverbeure.github.io
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Numerical Methods
Beyond
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Similarity
arxiv.org
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Linear Algebra
Groverkss/mlir-tutor
: Exercises for Learning MLIR (Originally written for
PPoPP
2026)
github.com
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r/Compilers
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Large Language Models
How I
squeezed
a
BERT
sentiment analyzer into 1GB RAM on a $5 VPS
mohammedeabdelaziz.github.io
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Large Language Models
Loss Distribution Collapse: A
Structural
Theory of Dataset
Degradation
zenodo.org
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Optimization
Writing an LLM from scratch, part
32d
--
Interventions
: adding attention bias
gilesthomas.com
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