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🤖 Scikit-learn
Machine Learning, Python, Model Training, Feature Selection
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Feature Selection
Techniques
in R:
Origins
, Methods, and Real-World Applications
dev.to
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Gini Coefficient
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Improving
Deep Learning Library Testing with Machine Learning
arxiv.org
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Property-Based Testing
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7 Advanced Feature Engineering
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Using LLM
Embeddings
machinelearningmastery.com
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19h
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Parser Combinators
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A Guide to the
DataLoader
Class and
Abstractions
in PyTorch
digitalocean.com
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Nixpkgs
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I built a free
ML
practice
platform - would love your feedback [P]
reddit.com
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2h
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r/MachineLearning
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Property-Based Testing
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**Abstract:** Single
Nucleotide
Polymorphisms
(SNPs) are critical contributors to human disease susceptibility, but their interactions are often complex and ...
freederia.com
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12h
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Gini Coefficient
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suzgunmirac/belief-in-the-machine
: Belief in the Machine: Investigating
Epistemological
Blind Spots of Language Models
github.com
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1h
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Parser Combinators
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A Practical Guide to
Handling
Skewed
Data in Machine Learning
dev.to
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Gini Coefficient
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Stop
Torturing
Your Data: How to Automate
Rigor
With AI
hackernoon.com
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13h
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Survival Analysis
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PokeNet
: Learning Kinematic Models of
Articulated
Objects from Human Observations
arxiv.org
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Inertial Navigation
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Imaging
biomarkers
of
ageing
: a review of artificial intelligence-based approaches for age estimation
thelancet.com
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7h
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ROC Curves
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What is
Overfitting
? -
Overfitting
in Machine Learning
Explained
aws.amazon.com
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Cross-Validation
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Probability
, statistics, matrix
algebra
statlect.com
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4h
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Monte Carlo
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Kimi K2.5 & Code, Genie 3,
OpenClaw
&
Moltbook
lastweekin.ai
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5h
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Magit
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Genome sequencing, de novo assembly and annotation of the commercially important bamboo, Bambusa
tulda
Roxb
nature.com
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6h
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Nixpkgs
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Writing an LLM from scratch, part
32a
-- Interventions: training a
baseline
model
gilesthomas.com
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Gradient Boosting vs
AdaBoost
vs XGBoost vs
CatBoost
vs LightGBM: Finding the Best Gradient Boosting Method
analyticsvidhya.com
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3d
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ROC Curves
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## Automated Hypothesis and
Conclusion
Extraction from Scientific Literature using Hybrid Transformer Networks and Causal Bayesian Reasoning for Temporal Analysis in Agricultural
Biotechnology
freederia.com
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2h
⛓️
MCMC
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Using
Interpretability
to Identify a Novel Class of Alzheimer's
Biomarkers
goodfire.ai
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AI and the
Reconfiguration
of the
Counterintelligence
Battlefield
tandfonline.com
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7m
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Chaos Engineering
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