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Books and arXiv review papers

(Key πŸ“™ pdf file 🌍 html book)

EDA, visualization, and data cleaning

Mathematics

Statistics and probability

Linear regression

Optimization

Machine learning

Books
arXiv

R realted

Deep learning / neural networks

Reinforcement learning

Recommender systems

Anomaly detection

Computer vision

Natural language processing (NLP) and large language models (LLM)

Causal inference

Conformal prediction

Feature engineering

Time series: Forecasting

Explainability/interpretability

Note: All arXiv papers are inherently free, and all books have been made freely available by their respective authors/publishers.

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Compendium of free ML reading resources

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