Further Reading

Summary

Further reading routes point from wiki overviews to deeper material. Use them after reading the concise concept pages and identifying which subject needs more depth.

Suggested routes

These follow the wiki’s section order; each names a good entry point for depth in that area.

• Linear algebra and numerical methods: start with Matrix Decompositions and Singular Value Decomposition.
• Probability and statistics: start with Bayes Theorem, Maximum Likelihood, and Hypothesis Testing.
• Classical machine learning: start with Linear Models, Gradient Boosting, and Model Selection.
• Recommender systems: start with Collaborative Filtering, Matrix Factorization, and Evaluation of Recommenders.
• Forecasting: start with ARIMA, Backtesting, and Forecast Evaluation.
• Deep learning: start with Neural Network Fundamentals, Backpropagation, and Transformers.
• Reinforcement learning: start with Markov Decision Processes, Temporal Difference Learning, and Policy Gradients and Actor-Critic.
• Natural language processing: start with Language Modelling, Tokenization, and Named Entity Recognition.
• Computer vision: start with Image Classification, Object Detection, and Semantic Segmentation.
• Generative AI: start with RAG, Tool Use and Function Calling, and RAG Evaluation.
• Information retrieval and search: start with BM25, Dense Retrieval, and Ranking and Retrieval Metrics.
• Data engineering: start with Data Pipelines, ETL and ELT, and Data Quality.
• Production ML: start with ML System Lifecycle, Monitoring, and Golden Datasets.
• Experimentation and evaluation: start with Offline Evaluation, A-B Testing, and Statistical Significance.
• Responsible AI: start with Fairness, Explainability, and Governance of Model and Knowledge Base Changes.

How to choose sources

Choose primary papers when you need the original formulation, official documentation when implementing an API, and textbooks or standards when learning stable foundations. For fast review, read the wiki page first, then one primary or authoritative source.

Maintenance

Keep this page as a route map, not a dumping ground. If a source becomes important to multiple pages, add it to references or the central bibliography.

Nav

Section — References and Glossary

← References