7 Essential Machine Learning Algorithms for Data Science, Data Analysis, and Predictive Modeling [2025 Guide]
dev.to·6h·
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BOOST: Bayesian Optimization with Optimal Kernel and Acquisition Function Selection Technique
arxiv.org·18h
♟Chess Programming
Perceptron in C
github.com·3h·
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Concept Poisoning: Probing LLMs without probes
lesswrong.com·5h
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Studying ML: current state
reddit.com·13h·
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Introduction to Supervised Machine Learning for Beginners
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From SHAP to Rules: Distilling Expert Knowledge from Post-hoc Model Explanations in Time Series Classification
arxiv.org·18h
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LLMs - Embeddings 01
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Introduction to Supervised Machine Learning for Beginners
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MLE-STAR is designed to automate machine learning pipelines with minimal human input
the-decoder.com·1d
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Open Sourced: ML Interview Questions and Job List (Ranked by Comp and Culture)
github.com·5h·
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Machine Learning Fundamentals: model evaluation project
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👁️Observability
Hands-On Transformer Deep Dive: Part 2 — Multi-head Attention Variants with Code
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Canoe Paddling Quality Assessment Using Smart Devices: Preliminary Machine Learning Study
arxiv.org·18h
💬Natural Language Processing
Graph Neural Networks for Knowledge Graphs
pub.towardsai.net·11h
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Fine-tuning with GPT-OSS and Hugging Face Transformers
cookbook.openai.com·2h·
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Why High-Quality Data Annotation is Crucial for AI Accuracy
hitechnectar.com·12h·
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SAT Requires Exhaustive Search
link.springer.com·1d·
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♟Chess Programming
A Data-Driven Machine Learning Approach for Predicting Axial Load Capacity in Steel Storage Rack Columns
arxiv.org·18h
💬Natural Language Processing
Filtering with Self-Attention and Storing with MLP: One-Layer Transformers Can Provably Acquire and Extract Knowledge
arxiv.org·18h
💬Natural Language Processing