ML Engineering References

Machine learning, AI, and deep learning resources. See also Research & POCs for hands-on evaluations.

Foundations & Textbooks

• The Little Book of Deep Learning
• Reinforcement Learning: An Introduction
• AI Engineering: Foundation Models

AI Safety & Governance

• The Alignment Problem
• The Coming Wave
• Situational Awareness: AGI Trajectory
• AI: A Guide for Thinking Humans

Research Papers

• Path Ranking Algorithm
• ProPPR: Scalable KB Inference
• Knowledge Vault: Probabilistic Fusion
• Never-Ending Language Learner
• Neural Symbolic Machines
• Efficient Reading Comprehension
• RAPTOR: Tree-Based Retrieval
• Utility-Based Information Distillation

Applied ML

• CRISP Dr. Zero Review
• Applied Machine Learning and AI Frameworks - Hugging Face ecosystem overview
• Neural Language Modeling and Transformers - NLP lifecycle with Transformers

NLP Fundamentals

• Subword Tokenization Algorithms - BPE, WordPiece, and Unigram algorithms
• NLP Evaluation Metrics - BLEU, ROUGE, and automated evaluation
• Semantic Search and Text Embeddings - Vector representations for information retrieval