What to Read After Probabilistic Graphical Models
Readers who loved Probabilistic Graphical Models by Daphne Koller keep reaching for these 24 books. This list is built from where Probabilistic Graphical Models is read alongside other books across reader co-reads and book lists. The more independent sources agree on a title, the higher it ranks.
Books to read after Probabilistic Graphical Models
Pattern Recognition and Machine Learning (Information Science and Statistics)
Artificial Intelligence
Speech and Language Processing
Probability Theory
Introduction to Information Retrieval
Elements of Information Theory
Machine Learning
The Elements of Statistical Learning
Networks, Crowds, and Markets
Introduction to the Theory of Computation
An Introduction To Statistical Learning With Applications In R
Doing Bayesian Data Analysis
Data Analysis
All of Statistics
Basic Category Theory for Computer Scientists
An Introduction to Statistical Learning
Causality
Probabilistic Reasoning in Intelligent Systems
INFORMATION THEORY, INFERENCE, AND LEARNING ALGORITHMS.
Complexity: A Guided Tour
The Signal and the Noise
2061
Pragmatic Programmer
A History of Western Philosophy