14 results for current filters
Introduction to AI Safety, Ethics, and Society
Dan Hendrycks on AI Safety, Ethics, and Society's critical challenges
AI Engineering
Chip Huyen's practical guide to building production AI systems beyond research prototypes.
LLM Engineers Handbook
Paul Iusztin's hands-on framework for building production-ready LLM systems, featuring the innovative LLM Twin concept for AI personalization.
Designing Machine Learning Systems
Chip Huyen's practical guide to building machine learning systems that work in production.
Natural Language Processing with Transformers
Master transformer architectures and large language models with Lewis Tunstall's practical guide.
Deep Learning for the Life Sciences
Bharath Ramsundar's practical guide to applying deep learning across genomics, drug discovery, microscopy, and molecular design for life sciences
The Hundred-Page Machine Learning Book
Burkov's impossibly concise distillation of machine learning into 100 pages—math, intuition, and practical algorithms for practitioners.
Deep Learning
Ian Goodfellow's definitive 800-page textbook on deep learning - the comprehensive mathematical foundation for modern AI
Computer Vision
Szeliski's authoritative guide to computer vision algorithms and applications
Pattern Recognition and Machine Learning
Bishop's definitive machine learning textbook covering probabilistic models and pattern recognition fundamentals.
Speech and language processing
Jurafsky's foundational guide to computational language understanding and speech processing.
Introduction to AI robotics
Murphy's foundational textbook on AI robotics, covering the hierarchical, reactive, and hybrid paradigms that organize intelligence in robots.
Artificial intelligence
Russell's definitive AI textbook: from intelligent agents to deep learning and beyond.
Reinforcement Learning
Richard Sutton's definitive textbook on agents maximizing reward through interaction with uncertain environments. The gold standard RL text.